Software Development Manager: Big Data and Data Warehouse - Amazon Dev Center India - Hyderabad - Hyderabad, Telangana   
The successful candidate will be responsible for leading a team to define and build a scalable software platform that will enable zero touch operation of a...
From Amazon.com - Tue, 27 Jun 2017 08:56:56 GMT - View all Hyderabad, Telangana jobs
          Big Data Engineer - Mosaic North America - Jacksonville, FL   
The Big Data Engineer will have experience with data transport within Apache Hadoop Big Data architecture and experience with ELT specialty Data wrangling and
From Mosaic North America - Fri, 23 Jun 2017 19:01:52 GMT - View all Jacksonville, FL jobs
          7/2/2017: Front Page: WOMEN’S WORLD CUP   
PETER Gray reckons he has the best seat in the house at the Tour de France. It’s at the top of what the Australian and his team call the “big data truck” — the monstrous vehicle responsible for bringing the riders’ data from the saddle to living rooms...
          Fluxo de dados terá grande impacto na economia mundial   

big data

Na era digital, dados, metadados, sejam eles pessoais ou não, são as novas matérias-primas da economia. Coletá-los, minerá-los, transformá-los em informações úteis, nos vários campos da ciência, da economia, da vida cotidiana, gerarão as cadeias de valor do futuro.

Os exemplos são muitos e já onipresentes na nossa vida. Metadados oriundos de milhares de carros, por exemplo, como localização e velocidade permitem aos motoristas aperfeiçoarem seus trajetos e melhoram o fluxo do tráfego nas grandes cidades.

O livre fluxo de dados permite e permitirá ao Brasil acessar e continuar acessando, desenvolvendo e exportando tecnologias e serviços de ponta, colocando o país nas novas cadeias de valor mundiais, não só no mercado global de Tecnologia da Informação e Comunicação, mas em todas as atividades econômicas.

A inovação e a competitividade das empresas brasileiras dependem cada vez mais do livre fluxo de dados, que tem o processo construído em cima de uma ampla e complexa arquitetura global que coleta, armazena, trata e transfere dados globalmente. 

Discute-se no Brasil o sério problema da Privacidade dos Dados Pessoais, e o Brasil tem que fazer algumas escolhas.

As mesmas pessoas que pedem mais privacidade divulgam toda a sua vida pessoal nas redes sociais, não querem que seu smartphone colete dados da sua localização geográfica, mas, em seguida, quando estão no trânsito, pedem a ajuda de aplicativos que dependem justamente dessas informações.

Privacidade depende de vários fatores, o primeiro é a transparência de quem está coletando os dados: precisa estar claro no “contrato” entre o usuário e as empresas quais dados estão sendo coletados e com quem serão compartilhados.

O segundo é a segurança dos dados, que vai desde a coleta, armazenamento e compartilhamento. A empresa que coleta os dados precisa estar em conformidade com regulações nacionais, mundiais e mesmo privadas, como o PCI, que é a Norma Mundial Privada para a coleta e armazenamento de dados de Cartões de Crédito.

A privacidade, antes de tudo, visa limitar a possibilidade do roubo de identidade, depois proteger a intimidade das pessoas.

A maior parte dos casos que aconteceram no Brasil tem origem nas próprias “vítimas”, que se deixaram flagrar em momentos de intimidade ou descortinaram sua localização e atividade presente e futura em sites de mídia social.

No Brasil, o número de identificação mais importante para o cidadão, o CPF, está exposto, não criptografado, não mascarado, na internet. A falta de norma brasileira sobre a proteção de dados prejudica o cumprimento de qualquer outra norma de privacidade que venha a ser adotada.

Dito isto, voltamos à inserção do Brasil no fluxo mundial de dados, cuja restrição sem critérios objetivos enfraquecerá o setor produtivo no que diz respeito à inovação e competividade.

Restrições brasileiras ao fluxo de dados, pelo princípio da reciprocidade, gerarão restrições de outros países ao mesmo fluxo. 

Um exemplo disso é como será afetada a “computação em nuvem”, serviço de processamento e armazenamento de dados oferecido por acesso remoto, que se passa em escala global. Só a nuvem consegue escalar muito rapidamente as necessidades de armazenagem e potência de computação a preço baixo. 

Um exemplo é o processamento de notas fiscais, em que um dos associados ABES (Associação Brasileira das Empresas de Software), que processa 500 mil notas por dia, teve a grata surpresa de, no Black Friday, ver sua demanda atingir 2 milhões de notas fiscais no dia, e a infraestrutura de computação em nuvem acompanhar instantaneamente esse aumento de demanda.

Os serviços públicos também terão interferência direta, pois a limitação do fluxo de dados também pode prejudicar a inovação e a melhoria de oferta. Nessa categoria podemos encaixar aplicativos como Uber, Waze, Google, que dependem do compartilhamento e tratamento de dados.

Estudo feito pelo European Centre For International Political Economy (ECIPE) estima que essa alteração na dinâmica do fluxo de dados poderia reduzir o crescimento do PIB global em até 2%. Já no plano local, tem potencial de diminuir o PIB do Brasil em cerca de 1%, surtindo efeito direto nos setores que dependem desse livre fluxo.

No que diz respeito ao desempenho econômico nacional, outro impacto ocorrerá na exportação de serviços de TIC, que gerou cerca de US$ 2 bilhões em 2016, de acordo com dados do Banco Central. 

Uma das discussões atuais no Brasil é se a nossa legislação deve se aproximar da adotada pela União Europeia, que limita o livre fluxo de dados pessoais a países que adotam a norma europeia ou da americana, com muito menos regulações e entraves. 

A escolha da estratégia correta é fundamental para o Brasil. 

Os EUA são hoje o maior parceiro comercial do Brasil, responsáveis por 46,8% da compra de serviços e aplicações tecnológicas. Uma possível solução seria as adoções de cláusulas padrão mínimas, que nos permitam continuar operando com os EUA e, ao mesmo tempo, abrir as portas do mercado europeu.

Defender a manutenção do livre fluxo de dados significa seguir no caminho do desenvolvimento sustentável global, baseado na economia de serviços, geradora de riqueza e prosperidade para os povos. Nesse contexto, o estímulo de boas práticas para a proteção de dados pessoais, transparência e segurança, deve ser objeto de esforços multilaterais ou pluriregionais.

A ABES começou a iniciativa Brasil Pais Digital justamente para discutir esse e outros assuntos de interesse da economia digital, à qual aderiram muitas entidades da sociedade civil e que explica, em termos não técnicos, para a população em geral, os grandes dilemas tecnológicos pelo qual passamos: www.BrasilPaisDigital.com.br


          How to Build a Robo Advisor: Advice for Starting a Robo Advisory   

MyPrivateBanking Robo AdvisorWith the tremendous growth in robo advisor assets under management (AUM), financial institutions are scrambling to figure out how to build and become a robo advisor.

Starting a robo advisor service combines financially savvy with big data analytics, as well as a comprehensive understanding to how robo advisors work.

How Do Robo Advisors Work?

Robo advisors are platforms that leverage algorithms to handle users' investment platforms. These services analyze each customer's current financial status, risk aversion, and goals. From here, they recommend the best portfolio of stocks available based on that data.

And these automated financial services are poised to transform the tremendous worldwide wealth management industry. 

MyPrivateBanking's report, Robo Advisor 3.0, takes an in-depth look at the basic challenge of every robo advisor: how to craft a presence that succeeds in convincing website visitors to sign up as investors and then remain on board.

In this data-driven assessment, the report looks at the characteristics, business models, and strengths and weaknesses of the top robo advisors around the world. The research was conducted on a total of 76 active robo advisors worldwide - 29 in the U.S. and Canada, 38 in seven European countries and nine in the Asia-Pacific region. We've compiled a full list of robo advisors analyzed below.

The exhaustive report provides comprehensive answers and data on how to optimize the individual onboarding stages (How it works, Client Assessment, Client Onboarding, Communication and Portfolio Reporting) and details five best practices for each stage. Furthermore, the report provides strategies to appeal to different segments such as Millennials, baby boomer investors approaching retirement, and high net worth individuals (HNWIs), and analyzes the impact of new technologies.

The report provides comprehensive analysis and data-driven insights on how to utilize robo advisors to win and keep clients:

  • What a robo advisor platform should offer to successfully convert prospects into happy clients.
  • Which robo advisor features work and why.
  • What are best practices for the different stages in the digital customer journey.
  • How long clients need to onboard on the surveyed robo advisors and which specialized offers are given.
  • What the client assessment process should include 
  • How client communication should be (inbound for customer service and outbound for news, education and commentary).
  • What good portfolio reporting looks like, so that it meets the information needs of the customer.
  • How B2B providers are positioned in the development of robo advisory services and what they offer.
  • How robo advisors should adopt their strategies to appeal to different segments such as Millennials, baby boomer investors approaching retirement, and high net worth individuals (HNWIs).
  • Which robo advisors provide specialized options such as micro-investing, rewards schemes or hedging strategies, and in what manner.
  • What the impacts of new technologies are, such as the use of artificial intelligence for client interaction and narrative generation on the robo advisor model.
  • How the future of digital success will look for robo advisors.
  • Appendix containing data on the web presences of more than 70 robo advisors alongside the digital customer journey process.
  • And much more.

>> Click here for Report Summary, Table of Contents, Methodology <<

Analyzed robo advisors in this report include:

North America: Acorns, Asset Builder, Betterment, Blooom, Bicycle Financial, BMO SmartFolio, Capital One Investing, Financial Guard, Flexscore, Future Advisor, Guide Financial, Hedgeable, iQuantifi, Jemstep, Learnvest, Liftoff, Nest Wealth, Personal Capital, Rebalance IRA, Schwab Intelligent Portfolios, SheCapital, SigFig, TradeKing Advisors, Universis, Wealthbar, Wealthfront, Wealthsimple, Wela, Wisebanyan 

Europe: AdviseOnly, Advize, comdirect, Easyfolio, EasyVest, ETFmatic, Fairr.de, FeelCapital, Fiver a Day, Fundshop.fr, GinMon, Investomat, KeyPlan, KeyPrivate, Liqid, Marie Quantier, Money on Toast, MoneyFarm, Nutmeg, Parmenion, Quirion, rplan, Scalable Capital, Simply EQ, Sutor Bank, Swanest, SwissQuote ePrivateBanking, True Potential Investor, True Wealth, Vaamo, VZ Finanz Portal, Wealth Horizon, Wealthify, WeSave, Whitebox, Yellow Advice, Yomoni, Zen Assets.

Asia-Pacific: 8 Now!, Ignition Direct & Ignition Wealth, InvestSMART, Mizuho Bank Smart Folio, Movo, Owners Advisory, QuietGrowth, ScripBox, StockSpot

Here's how you get this exclusive Robo Advisor research:MyPrivateBanking Report Spread

To provide you with this exclusive report, MyPrivateBanking has partnered with BI Intelligence, Business Insider's premium research service, to create The Complete Robo Advisor Research Collection.

If you’re involved in the financial services industry at any level, you simply must understand the paradigm shift caused by robo advisors.

Investors frustrated by mediocre investment performance, high wealth manager fees and deceptive sales techniques are signing up for automated investment accounts at a record pace.

And the robo advisor field is evolving right before our eyes. Firms are figuring out on the fly how to best attract, service and upsell their customers. What lessons are they learning? Who’s doing it best? What threats are traditional wealth managers facing? Where are the opportunities for exponential growth for firms with robo advisor products or models?

The Complete Robo Advisor Research Collection is the ONLY resource that answers all of these questions and more. Click here to learn more about everything that's included in this exclusive research bundle

Join the conversation about this story »

NOW WATCH: Warren Buffett lives in a modest house that's worth .001% of his total wealth — here's what it looks like


          Φίλες και φίλοι !!!!   
Συντρόφισσες και Σύντροφοι !!! 

 Ένα μεγάλο ευχαριστώ από τα βάθη της καρδιάς μου.
 Απλώνω το χέρι μου και χαιρετίζω κάθε σύνεδρο, από κάθε γωνιά της Ελλάδας. 
 Μαζί. Πάμε μαζί. 
 Κάνουμε σήμερα ένα βήμα μαζί. 
 Είναι προσωπικό καθήκον καθενός μας.
 Και πατριωτικό καθήκον όλων. 
 Και ο βηματισμός μας θα είναι ιστορικός αν έχουμε οδηγό τις αξίες μας.

 Σύντροφό μας, τις εμπειρίες μας. 
 Και κινητήρια δύναμη, την φαντασία μας - τα οράματά μας Πολλοί ρωτούν ποιοί είμαστε: 
 Είμαστε, πάντα ήμασταν, το Κίνημα της Προόδου. 
 Είμαστε η μόνη πραγματική Αριστερά που γνώρισε ο τόπος. 
 Και είμαστε μαζί, Όσοι ξεκινήσαμε ανατρεπτικά το ’74,
 Όσοι ανατριχιάσαμε από συγκίνηση το ’81,
 Όσοι δεν λυγίσαμε το βρώμικο ’89,
 Όσοι χτίσαμε την Ελλάδα των υποδομών,
 Όσοι βάλαμε Ελλάδα και Κύπρο στον ευρωπαϊκό πυρήνα το ’93, το ’96 και το 2000, ανοίγοντας δρόμους για μια άλλη σχέση με την γείτονα Τουρκία, 
 Όσοι δώσαμε νέο νόημα στην έννοια της συμμετοχής το 2004, και όσοι βάλαμε πλάτη για να μην ζήσει η Πατρίδα και η ελληνική οικογένεια μια εθνική τραγωδία βίαιης χρεοκοπίας από το 2009. 
 Όσοι - νέοι και παλαιότεροι δεν φοβόμαστε να μιλήσουμε για τις αξίες μας - Αυτές του ανθρωπισμού, δημοκρατικού φιλελευθερισμού, σοσιαλισμού και πράσινης ανάπτυξης.
 Από τα όσα περάσαμε μάθαμε πολλά. 
 Τόσοι εδώ σε αυτή την αίθουσα πονέσαμε παίρνοντας δύσκολες αποφάσεις - ζητώντας θυσίες από τον ελληνικό λαό. 
 Χωρίς να υπολογίζουμε προσωπικό ή πολιτικό κόστος. 
 Αλλά πονέσαμε περισσότερο όταν οι θυσίες του ελληνικού λαού δεν αναγνωρίστηκαν από πολλούς εταίρους μας, αφήνοντας την Ελλάδα να χτυπιέται στις διεθνείς αγορές. 
 Πονέσαμε ακόμα περισσότερο όταν τις θυσίες του ελληνικού λαού δεν σεβάστηκαν τα κόμματα της αντιπολίτευσης.
 Τις πολέμησαν, για να μας πολεμήσουν.
 Αφήνοντας την χώρα να βολοδέρνει για 7 και πλέον χρόνια όταν άλλες χώρες, σε κλίμα εθνικής ομόνοιας, βγήκαν στις αγορές. Στην κορύφωση του μίσους, εμείς φωνάζαμε για συνεργασία. Στην κορύφωση του διχασμού, εμείς φωνάζαμε δημοψήφισμα. Ρωτούν πολλοί: ποιός είναι ο σκοπός μας;
 Ένας ήταν, ένας είναι: 
 Να δώσουμε ξανά ελπίδα σε αυτόν τον τόπο.
 Σήμερα που εξαντλήθηκαν τα ψέματα, στέρεψαν οι μύθοι, σήμερα που οι αρχιτέκτονες του αντιμνημονίου ομολόγησαν είτε την αμαρτία τους είτε τις αυταπάτες τους, σήμερα που κατακάθισε ο εγκληματικός για τη χώρα κουρνιαχτός που δημιούργησαν, να δώσουμε ξανά ελπίδα.
 Αλλά - αυτή δεν μπορεί να βασιστεί στα ψέματα.
 Γιατί μπορεί όσοι έκτισαν ψεκασμένες καριέρες να ξεφτιλίστηκαν, χύθηκαν όμως τόνοι δηλητήριο ψεύδους στην ελληνική κοινωνία.
 Πόλωση και μίσος.
 Που γονάτισε το ηθικό της Ελλάδας Είναι δικό μας καθήκον να ποτίσουμε κάθε γωνιά της χώρας με αντίδοτο αλήθειας. 
 Γιατί η αλήθεια απελευθερώνει.  
Δείχνει τι πρέπει να αλλάξει.
 Ανοίγει δρόμους εναλλακτικούς. Για αυτό και οραματίζομαι μια παράταξη του ορθολογισμού, του μέτρου και της αλήθειας. 
 Στη Ελλάδα διασύρθηκε η αλήθεια.
 Διασύρθηκε από ένα πολιτικό-οικονομικό κατεστημένο που δεν ήθελε και ακόμα δεν θέλει να αποκαλυφθούν τα βαθύτερα αίτια της κρίσης. 
 Κρύφτηκαν πίσω από δήθεν φουσκωμένα ελλείμματα, δήθεν παιχνίδια με CDS, δήθεν δισεκατομμύρια που αρνηθήκαμε, δήθεν μέτρα που δεν πήραμε, δήθεν μυστικά σχέδια που είχαμε, δήθεν, δήθεν, δήθεν…
 Θα επαναλάβω εδώ ένα μόνο που υπογράμμισα στην Εθνική Συνδιάσκεψη του Κινήματος Δημοκρατών Σοσιαλιστών πριν λίγες μέρες.
 Τώρα που όλοι αναγνωρίζουν πως εμείς μετρήσαμε σωστά το έλλειμμα του 2009, μήπως ήρθε η ώρα να διερευνήσουμε ποιοι δεν το μέτρησαν; 
 Ποιοι είπαν ψέματα; 
 Ποιοι σταύρωσαν την Ελλάδα και την αξιοπιστία της; 
 Ακούει η Δικαιοσύνη;
 Είναι όντως τυφλή; 
 Ή μήπως συμφέροντα θέλουν να είναι δεξιόστροφα τυφλωμένη; Έχουμε την αλήθεια με το μέρος μας.
 Και δεν θα αφήσουμε σε χλωρό κλαρί όσους τη διέσυραν και θέλουν να τη θάψουν. 
 Γιατί είναι αλήθεια πως η μόνη ρεαλιστική και πατριωτική επιλογή ήταν η προσφυγή στο μηχανισμό στήριξης.
 Το απέδειξαν όλες οι επόμενες κυβερνήσεις. 
 Είναι αλήθεια πως ούτε μία ώρα δεν θα άντεχαν στη θέση μας το 2010 όλοι αυτοί που μας έκαναν και μαθήματα διαπραγμάτευσης. Το απέδειξαν όταν έγιναν κυβέρνηση. 
 Πολλοί όμως μας ρωτούν: ας αφήσουμε το χθες, ποιά είναι η αποστολή σας σήμερα; 
 Ήταν πάντα και είναι η αλλαγή.  
Να αλλάξουμε την Ελλάδα.
 Γιατί είναι αλήθεια ότι μια μέρα θα βγούμε από τα Μνημόνια. Αλλά η «έξοδος» που έχει σημασία, αν δεν θέλουμε να κοροϊδευόμαστε μεταξύ μας, είναι μία:
 Η «έξοδος» από όσα μας οδήγησαν στο Μνημόνιο. 
 Η «έξοδος» από την πελατειακή νοοτροπία.
 Το ξερίζωμα της ρίζας του κακού. 
 Ήταν αυτή η νοοτροπία με την οποία χάθηκε το μέτρο και ζούμε όσα ζούμε τα τελευταία 7 χρόνια. 
 Νοοτροπία που υπονόμευσε όλα τα απαράγραπτα επιτεύγματα της Μεταπολίτευσης. 
 Η κορύφωση της πελατειακής ασυδοσίας την περίοδο 2004-2009 έστειλε την Ελλάδα στα Τάρταρα. 
 Από το 2010 η κοινωνία μας έχει βιώσει μία από τις πιο βίαιες προσαρμογές σε καιρό ειρήνης για οποιαδήποτε χώρα. 
Πονέσαμε. Ματώσαμε. 
 Αλλά πόσο αλλάξαμε; 
 Σας το λέω ως ο Πρωθυπουργός της κυβέρνησης ΠΑΣΟΚ που πέτυχε και συμφώνησε τη μεγαλύτερη αναλογικά διαγραφή χρέους για κράτος στην παγκόσμια ιστορία τον Οκτώβριο του 2011 – διαγραφή που ολοκληρώθηκε από την κυβέρνηση του Λουκά Παπαδήμου:
 Όσο και να μειωθεί το χρέος, όσο και να επιμηκυνθεί η αποπληρωμή του, αν δεν αλλάξουμε τον τρόπο που λειτουργούμε ως χώρα, πάλι μπροστά μας θα βρίσκεται το χρέος σε λίγα χρόνια. Στο σημείο αυτό επιτρέψτε μου να στείλω - και πιστεύω στέλνουμε όλοι μαζί, την αγάπη μας και τις ευχές μας για ταχεία ανάρρωση στο Λουκά Παπαδήμο. 
 Οι ευχές μας συνοδεύουν και τον Σταύρο Θεοδωράκη.
 Σταύρο, σε θέλουμε συνοδοιπόρο στη μάχη για τη Μεταπελατειακή Ελλάδα. 
 Μας ρωτούν οι πολίτες: Υπάρχει άλλος δρόμος; 
 Απαντώ - ναι - αν πιάσουμε το νήμα των μεγάλων προοδευτικών μεταρρυθμίσεων που συγκλόνισαν τη χώρα.
 Άλλαξαν τον τόπο μας προς το καλύτερο. 
 Έδωσαν δικαιώματα σε όλους. Μιλάω για πραγματικές μεταρρυθμίσεις, που δεν υπάκουσαν στις υπάρχουσες δομές. 
 Αλλά τις τάραξαν, τις ταρακούνησαν συθέμελα.
 Όπως το Εθνικό Σύστημα Υγείας, η θεσμοθέτηση της ισότητας των δύο φύλων. 
 Όπως ο Καποδίστριας, τα ΚΕΠ, ο ΑΣΕΠ, τα μεγάλα έργα υποδομών, ο Καλλικράτης, η ηλεκτρονική συνταγογράφηση, η Διαύγεια, ο νόμος του 2011 για τα Πανεπιστήμια. 
 Μας ρωτούν - Ποια ανάπτυξη θέλουμε; 
 Την πράσινη, βιώσιμη ανάπτυξη.
 Αυτή που δεν βασίζεται στα ελλείμματα αλλά στα πλεονεκτήματα.
 Και κυρίως στο πλεόνασμα ταλέντου, δημιουργικότητας, πολιτισμού και ομορφιάς που έχει αυτός ο τόπος. 
 Μόνο έτσι θα αφανίσουμε τις ανισότητες, την φτώχεια και την ανεργία, οριστικά.  
Βασιζόμενοι στις δικές μας δυνάμεις, αφομοιώνοντας τις παγκόσμιες τεχνολογικές αλλαγές, αξιοποιώντας τη φαντασία μας, και επιδιώκοντας παντού την έννοια-κλειδί: Ποιότητα.
 Όλη η Ελλάδα, κέντρο ποιότητας. 
 Τα πανεπιστήμιά μας κέντρα έρευνας και εκπαίδευσης - μαγνήτες για φοιτητές από όλο τον κόσμο - όπως κάνει ήδη η αδελφή μας η Κύπρος. 
 Γιατί όχι; Η Ελλάδα κέντρο ευζωίας και υπηρεσιών υγείας για την Ευρώπη.
 Γιατί όχι; Η Ελλάδα παγκόσμιο κέντρο έρευνας και εκπαίδευσης για κάθε πτυχή της ναυτιλίας - από τον μηχανικό, τον νομικό, τον μάνατζερ μέχρι τον βιολόγο που μετρά τους ρύπους στις θάλασσες. 
 Γιατί όχι; Η Ελλάδα και ο αγροτικός μας τομέας ανταγωνιστικός και στο επίκεντρο του παγκόσμιου ενδιαφέροντος για ποιοτική διατροφή, με βάση την Κρητική ή μεσογειακή διατροφή.
 Γιατί όχι; 
 Η Ελλάδα κέντρο αιολικής, ηλιακής, γεωθερμικής και θαλάσσιας ανανεώσιμης ενέργειας.  
Τα νησιά μας ενεργειακά ανεξάρτητα. Πρότυπα μιας μελλοντικής κοινωνίας άνευ ρύπων, όπως η Τήλος. Γιατί όχι;
 Αντί να ψάχνουμε που θα τα θάψουμε ή που θα κάψουμε τα σκουπίδια, να τα αξιοποιήσουμε. 
 Όπως η Σουηδία που εισάγει απόβλητα με οικονομικό όφελος. Γιατί όχι και εδώ;
 Η Ελλάδα ολόκληρη, όχι μόνο ο Πειραιάς, κεντρικός πάροχος υπηρεσιών logistics, που αξιοποιεί την ανερχόμενη δύναμη της Ασίας. 
 Γιατί όχι; Αξιοποίηση των τεχνολογιών επαυξημένης πραγματικότητας (Augmented reality) για την προβολή του πολιτισμού και των μνημείων μας στον τουρισμό και στα σχολεία μας. 
 Γιατί όχι; Η Ελλάδα όχι μόνο ιστορικό, αλλά και σύγχρονο λίκνο της δημοκρατίας.
 Με αξιοποίηση των νέων τεχνολογιών του διαδικτύου για διαβούλευση και συμμετοχή του κάθε πολίτη στις αποφάσεις που τον αφορούν. 
 Δημιουργώντας μια ηλεκτρονική «αγορά», με την αρχαία έννοια της λέξης. 
 Γιατί όχι; Να πιάσουμε παντού το νήμα των μεγάλων αλλαγών που ύφανε η Παράταξή μας δεκαετίες τώρα.
 Και να πάμε ακόμα πιο βαθιά. Ακόμα πιο πέρα.
 Ακόμα πιο τολμηρά. 
 Σε μια επανάσταση του αυτονόητου Στο Δημόσιο, για να γίνει πλήρως ηλεκτρονικό, απλό, και να σταματήσει να εξαντλεί τον πολίτη.
 Αλλά και χτυπώντας κάθε σπατάλη - με ηλεκτρονικές προμήθειες παντού Αξιοποιώντας τα big data. 
 Στηρίζοντας την καινοτομία και τα start ups των νέων.
 Στη Διοίκηση, για να αξιολογήσει επιτέλους το προσωπικό της και να το αξιοποιήσει εκεί που πονάει ο πολίτης.
 Στη Δικαιοσύνη, για να μπει τέλος στην καθυστέρηση στην απονομή της, που εξοργίζει τον πολίτη και εμποδίζει επενδύσεις. Στη μείωση της γραφειοκρατίας, για να απελευθερωθεί το επιχειρηματικό δαιμόνιο που βρίσκεται μέσα σε κάθε Έλληνα. Και να χρηματοδοτηθεί από Τράπεζες που βάζουν πλάτη στην υγιή επιχειρηματικότητα και όχι στα παράσιτα. 
 Τέτοιες αλλαγές χρειάζεται η Πατρίδα παντού. Και ξέρετε, το δύσκολο δεν είναι να τις περιγράφεις. Από προθέσεις και λόγια, σκίζουμε όλοι. Το δύσκολο είναι να πάρεις μία μεγαλεπίβολη πρόθεση από το Άλφα και να την πας μέχρι το Ωμέγα. 
 Λίγοι μπορούν να το κάνουν αυτό. 
 Και σχεδόν όλοι, βρίσκονται στο δικό μας πολιτικό χώρο. 
 Πόσες και πόσες φορές δεν μας είπαν «αυτά δεν γίνονται στην Ελλάδα». 
 Πόσες και πόσες φορές δεν τους διαψεύσαμε. 
 Ναι, γίνονται. 
 Όλα γίνονται. Αρκεί να το πιστέψουμε. 
 Και να σηκώσουμε τα μανίκια.
 Δεν έχει άλλο χρόνο για χάσιμο η Παράταξή μας. 
 Δεν έχει άλλο χρόνο για χάσιμο η χώρα μας. 
 Μας ρωτούν ποια η τοποθέτησή μας στις διεθνείς εξελίξεις: Είμαστε σοσιαλιστές.
 Μέλη της μεγαλύτερης πολιτικής οικογένειας της υφηλίου, της Σοσιαλιστικής Διεθνούς. Πιστεύουμε στην ανάγκη υιοθέτησης παντού αρχών και αξιών - σε παγκόσμιο επίπεδο. 
 Στρατευόμαστε με όλο μας το είναι στη μάχη για εξανθρωπισμό της παγκοσμιοποίησης. Γιατί; 
 Οι παγκόσμιες προκλήσεις είναι τεράστιες.
 Κάθε πρόκληση θα εξελιχθεί είτε σε ευκαιρία, είτε σε τραγωδία για την ανθρωπότητα.
 Σκεφτείτε την απειλή της κλιματικής αλλαγής.
 Σκεφτείτε την τεχνολογική έκρηξη, πόσες τεράστιες δυνατότητες μπορεί να φέρει αλλά και ανεργία Σκεφτείτε την πληθυσμιακή έκρηξη της Αφρικής. 
Φαινόμενο που ζούμε στις ακτές της Μεσογείου.
 Σκεφτείτε τον τεράστιο πλούτο που κυκλοφορεί παγκοσμίως κάθε δευτερόλεπτο που περνάει. 
 Η γιγαντιαία ανισότητα, η ύβρις, να έχουν τα 8 πλουσιότερα άτομα στον κόσμο ισόποσα χρήματα με το 50% του φτωχότερου πληθυσμού του πλανήτη, δεν μπορεί να συνεχιστεί. 
 Πιστεύουμε ότι η Ευρώπη μπορεί να αποτελέσει τον άξονα εξανθρωπισμού της παγκοσμιοποίησης.
 Αλλά ποιά Ευρώπη;
 Η Ευρώπη - από την ίδρυσή της, βασίζεται στις αρχές του δικαίου. Αλλιώς τόσες διαφορετικές χώρες και λαοί δεν θα μπορούσαν να συνυπάρξουν.
 Στην λογική ενός ευρωπαϊκού πατριωτισμού που βασίζεται στην προσήλωση σε αξίες και κανόνες. 
 Μία συνείδηση ενότητας, συλλογικής δύναμης, κοινού οράματος. Έτσι ξεκίνησε το ευρωπαϊκό όραμα.
 Σήμερα δεν είναι.
 Αντί για πρωτοπόρος, παρατηρητής και ουραγός. 
 Από τη χρηματοπιστωτική κρίση μέχρι την Αραβική Άνοιξη. 
 Κι από το προσφυγικό μέχρι και την ίδια της την ανάπτυξη.
 Αντί να εμπιστευτεί τις δυνατότητές της, δεν πιστεύει ούτε στον εαυτό της.
 Αντί για ενότητα, αλληλεγγύη και συλλογική δράση, κατηγορίες, παραλυτικά στερεότυπα και τιμωρητικές λογικές μεταξύ των εταίρων. 
 Υπονομεύεται η κοινή πορεία της ΕΕ. Και αναδύονται αυταρχισμοί και φονταμενταλισμοί.
 Καθήκον δικό μας, καθήκον όλων των προοδευτικών δυνάμεων, είναι να προστατεύσουμε την ευρωπαϊκή μας οικογένεια.
 Να της δώσουμε κατεύθυνση, πυξίδα, όραμα. 
 Οι προκλήσεις είναι σαφείς. 
 Κι όσο παλεύουμε στην Ευρώπη και διεθνώς, άλλο τόσο, και ακόμα περισσότερο χρειάζεται και εμείς, ως χώρα, να προετοιμαστούμε. 
 Να ισχυροποιηθούμε θεσμικά, δημοκρατικά, εκπαιδευτικά, ερευνητικά, επενδυτικά.
 Οραματίζομαι λοιπόν μία Παράταξη που θα σαλπίσει ξανά την πρόοδο στη χώρα. 
 Και θα επιβάλλει αδιαπραγμάτευτες προοδευτικές αλλαγές σε οποιαδήποτε κυβερνητική συνεργασία. 
 Είναι αλήθεια, μπροστά στο μέγεθος της προσπάθειας που χρειάζεται για την ανάταξη της χώρας, κανείς δεν μπορεί μόνος του.
 Με στοιχειώδη πολιτική συναίνεση το 2010, όταν η Ελλάδα βρέθηκε σε κατάσταση οικονομικού πολέμου, ή έστω τον Οκτώβριο του 2011 με τη Συμφωνία των Βρυξελλών και το δημοψήφισμα, η Ελλάδα σήμερα θα είχε περάσει προ πολλού τον κάβο. 
 Οι Έλληνες θα είχαν γλυτώσει πολλά. Χρόνια σε χάσιμο χρόνου. Δισεκατομμύρια σε επιβαρύνσεις.
 Και σήμερα μαθαίνουμε από τον Ρεγκλιγκ ότι η δήθεν διαπραγμάτευση του 2015 κόστισε τον ελληνικό λαό άλλα 100 δις.
 Απαιτείται λοιπόν εθνική συνεννόηση και συναίνεση. Προσοχή, όμως.
 Συναίνεση για να αλλάξουμε τα πράγματα προς το καλύτερο. 
 Όχι συναίνεση για να μείνουμε στα ίδια.
 Όχι για να γυρίσουμε πίσω.
 Ούτε για να μοιράσουμε καρέκλες. 
 Οι καθαρές λοιπόν κουβέντες από τώρα θα στείλουν καθαρό μήνυμα σε όσους γλυκοκοιτάζουν το χώρο μας.
 Θα πω τρεις κουβέντες – εντελώς τροχιοδεικτικά.
 Πρώτον, καμία απολύτως θέση ευθύνης στο Δημόσιο μέσω κομματικής επετηρίδας.
 Ανοιχτή σε όλους προκήρυξη θέσεων και επιλογή υποψηφίων βάσει πραγματικών προσόντων και εμπειρίας. 
 Δεύτερον, κανένας εκπρόσωπος της νοοτροπίας που χρεοκόπησε την Ελλάδα στο αξίωμα του Προέδρου της Δημοκρατίας το 2020. Υπάρχουν δεκάδες Έλληνες και Ελληνίδες που μπορούν να συμβολίσουν στο ύπατο πολιτειακό αξίωμα την Ελλάδα που θέλουμε.
 Και τρίτον, ουδεμία υποχώρηση σε θέματα ηθικής και σεβασμού του δημοσίου χρήματος. 
 Ανένδοτος αγώνας ενάντια στη μεγαλοφοροδιαφυγή. 
 Καμία ανοχή στο λαθρεμπόριο καυσίμων και τσιγάρων.
 Μαχαίρι στο μαύρο πολιτικό χρήμα με νέο εκλογικό νόμο που σπάει τις αχανείς εκλογικές περιφέρειες.
 Δεν ξέρω πόσοι θα εξακολουθήσουν να γλυκοκοιτάζουν το χώρο μας, με τέτοιες καθαρές κουβέντες.
 Δικό τους πρόβλημα. 
 Η χώρα πρέπει να πάει μπροστά. Μόνο έτσι δεν θα επιτρέψει σε κανέναν, ποτέ πια, να αμφισβητήσει τη θέση της στο ευρωπαϊκό και διεθνές στερέωμα.  
Συντρόφισσες και σύντροφοι, Οραματίζομαι να χτίσουμε μαζί την νέα παράταξη της σύγχρονης αριστεράς. 
 Οραματίζομαι μία Παράταξη που δεν φοβάται να μιλήσει για Ανθρωπισμό, Σοσιαλισμό, Πολιτικό Φιλελευθερισμό, Διαφωτισμό, και Βιώσιμη – Πράσινη Ανάπτυξη. 
 Που λέει περήφανα ότι στη δική μας κοινωνία, το δικό μας όραμα, δεν χωράει καμία απολύτως διάκριση μεταξύ των ανθρώπων. 
 Ό,τι κι αν πιστεύουν, όποιο χρώμα ή προέλευση κι αν έχουν, όποια σεξουαλική προτίμηση κι αν έχουν.
 Μία Παράταξη που μιλάει σθεναρά για Σοσιαλισμό. 
 Για το διαρκή και συνειδητό μας όρκο για κοινωνική δικαιοσύνη. Ανάμεσα στις κοινωνικές ομάδες.  
Αλλά και ανάμεσα στις γενιές. Μία Παράταξη που κάνει πράξη με κάθε της αναπνοή τον Πολιτικό Φιλελευθερισμό.
 Που σημαίνει ενδυνάμωση κάθε πολίτη. 
 Σημαίνει λειτουργία δημοσίου που εξασφαλίζει σε κάθε πολίτη δυνατότητες να σταθεί στα πόδια του, να μορφωθεί, να καλλιεργηθεί, να προοδεύσει, να συμμετέχει.
 Μία Παράταξη που δεν θα σταματήσει ποτέ να μιλάει για τη σημασία της βιώσιμης πράσινης ανάπτυξης.
 Δεν ακούω κανέναν τώρα να μιλάει για «πράσινα άλογα». 
 Γιατί σε όλο τον πλανήτη μιλάνε σήμερα για την πράσινη ανάπτυξη.
 Αλλά στην Ελλάδα μόνο η δική μας Παράταξη αντιλαμβάνεται όχι από μόδα, αλλά από πεποίθηση, πόσο σημαντικό είναι να αναδεικνύεις τα συγκριτικά σου πλεονεκτήματα, προστατεύοντας ταυτόχρονα την παράδοσή σου, τον πολιτισμό σου και φυσικά τη μοναδική ομορφιά του τόπου σου. 
 Και μόνο η δική μας Παράταξη μπορεί να αποτελέσει άξονα πολιτικού ορθολογισμού στη χώρα.
 Απέναντι στη δημαγωγία, τη μοιρολατρία, τον φονταμενταλισμό, τον δογματισμό, τη συνωμοσιολογία, τη μυθοπλασία που εκμεταλλεύεται τον πόνο του λαού.
 Όπως επιτάσσουν οι αξίες του Διαφωτισμού. 
 Οραματίζομαι λοιπόν μία Παράταξη που δεν θα φοβηθεί να χτυπήσει την πόρτα κάθε ελληνικής οικογένειας και να μιλήσει για τις αξίες μας και τις προτάσεις μας. 
 Να συζητήσουμε με τον κάθε συμπολίτη μας, πόρτα πόρτα. Υπάρχουν χιλιάδες πολίτες που αποτύχαμε να τους πείσουμε ή φοβηθήκαμε να πλησιάσουμε.
 Το εύκολο είναι να τους κολλάμε ταμπέλες.
 Το δύσκολο είναι να βρούμε τον καθαρό λόγο και το σθένος να τους μιλήσουμε κοιτώντας τους στα μάτια. Σε κάθε σπίτι.
 Στο χώρο εργασίας. Στο καφενείο. Έτσι κερδίζονται οι μάχες.
 Έτσι κερδίζονται οι καρδιές. Στη βάση.
 Κινηματικά. Όπως το 1981.
 Με καθαρές κουβέντες. 
 Πείθοντάς τους ότι το σχέδιό μας είναι δικό τους σχέδιο, γεννήθηκε μέσα από τις δικές τους αγωνίες, και απαντά με συγκεκριμένες λύσεις στις δικές τους απαιτήσεις. 
 Φίλες και φίλοι, Συντρόφισσες και Σύντροφοι, Περιέγραψα σε αδρές γραμμές το όραμα του Κινήματος Δημοκρατών Σοσιαλιστών για την κοινή μας Παράταξη. 
 Μία Παράταξη που αναγνωρίζει τα λάθη της χωρίς να ισοπεδώνει το παρελθόν της. 
 Μία Παράταξη που θα ξανακάνει το χώρο του σοσιαλισμού και της δημοκρατίας, όχι τρίτο, όχι δεύτερο πόλο, αλλά πρωταγωνιστή στην ελληνική πολιτική σκηνή. 
 Έχουμε περάσει πάρα πολλά για να γίνουμε κομπάρσοι στο δεξιό νεοφιλελευθερισμό ή στους αριστερούς ψάλτες του καραμανλισμού της χρεοκοπίας.
 Όλο και περισσότεροι πολίτες στρέφουν το βλέμμα τους στη Συμπαράταξή μας.
 Με δυσπιστία ίσως. 
 Με καχυποψία πολλές φορές. 
 Αλλά από εμάς περιμένουν.
 Ο πολιτικός μας χώρος, ο χώρος της προόδου, της δημοκρατίας και του σοσιαλισμού, είναι εκείνος ο χώρος που μπορεί να ηγηθεί της προσπάθειας σχηματισμού ευρύτερων συναινέσεων που έχει ανάγκη η χώρα για να αλλάξει, να πάει μπροστά. 
Μπορούμε.
 Έχουμε το πλεονέκτημα της διαφοφορετικότητάς μας - ας το αξιοποιήσουμε. 
 Έχουμε έργο και πολιτικές επιλογές που κάθε μέρα δικαιώνονται ακόμα και από αυτούς που μας πολεμούσαν. 
 Ας τα υπερασπιστούμε.
 Έχουμε το καλύτερο στελεχιακό δυναμικό, στελέχη που έζησαν τις αλήθειες, σήκωσαν την Ελλάδα στις πλάτες τους την κρίσιμη ώρα και είναι περήφανοι για αυτό.
 Ας ξαναβρεθούμε.
 Κι ας δώσουμε το λόγο σε κάθε πολίτη. 
 Εκεί θα κριθούμε. 
 Όχι στις αντιπολιτευτικές κορώνες. 
 Όχι στις συνεντεύξεις και στα τηλεοπτικά πάνελ. 
 Αλλά στη βάση. 
 Εκεί θα κριθεί η ικανότητά μας να πείσουμε και πάλι πως αυτή είναι μία Παράταξη… 
 από το Λαό, με το Λαό, για το Λαό.
 Σας ευχαριστώ.


          @AltheimLaw’s Privacy and Data Protection Week in Review   
Big Data One code to rule them all: How big data could help the 1 percent and hurt the little guy ‪http://www.salon.com/2014/01/03/one_code_to_rule_them_all_how_big_data_could_help_the_1_percent_and_hurt_the_little_guy/ …       Children Online Privacy Maryland AG Gansler Submits Children’s Online Privacy Workgroup Report ‪http://ow.ly/2Cyc8W    Conferences ·      Watch All ‪#30c3 talks, without data retention or Google spyware ‪https://media.ccc.de/browse/congress/2013/ …     Data Breaches ·      WA: Sumner […]
          @AltheimLaw’s Privacy and Data Protection Week in Review   
Big Data   The E-Books Are Reading You #EUdataP http://www.nytimes.com/2013/12/25/technology/as-new-services-track-habits-the-e-books-are-reading-you.html … Retailers, Supermarkets, Medical Markets Dive In To Extract Information From And About Consumers http://ow.ly/rYTdJ      California Privacy   California’s New Do-Not-Track Law Goes Into Effect January 1, 2014, Remember To Check Your Privacy Policy For … http://ow.ly/2Clqu3    CAN-SPAM   Court Accepts Narrow View […]
          World Cloud Managed Services Market - Opportunities and Forecast to 2022 - Driven by Major Developments in Big Data, Mobility Services & More - Research and Markets   
...East and Africa (LAMEA). Key Companies Mentioned: • Cisco ( News - Alert ) • Atos • NTT Data Corporation • IBM • CSC • Fujitsu • Accenture • Ericsson • Alcatel Lucent ( News - Alert ) Scope of the Report: Market By Services • Managed Security Services • Managed Infrastructure Services • Managed Business Services • Others Market ...

          Global Cloud Managed Services Market to Grow 17% by 2022 - Rising Adoption of Big Data & Analytic Services in SMEs - Research and Markets   
...the organization size the market is classified by large enterprises and small and medium enterprises. Companies Mentioned • Accenture Plc • Alcatel-Lucent • Alcatel-Lucent S.A • Atos Se • CSC • Cisco ( News - Alert ) Systems, Inc. • Civica • Ericsson • Fujitsu Ltd. • Hewlett-Packard Enterprise Company ...

          Big Data QA Engineer   
Swoon Oakbrook Terrace, IL
          Big Data Hadoop Developer - Dubai   
Big Data Hadoop Developer - (Hadoop implementation) - 20 positions at multiple levels rates are flexible 15000 - 55000 AED monthly depending on experience Long term contract Dubai Are you looking to gain commercial exposure to an international client An opportunity to work for one of the most prestigious organisations in the world based in Du
          WatchGuard Technologies Brings Big Data Visibility Tools to Network Security   
Zero-install, cloud-ready WatchGuard Dimension instantly distills 'oceans of security data' into key insights and trends

          Big Data Junior Developer - FastConnect - Purchase, NY   
Experience in Hadoop (Cloudera, HortonWorks and/or MapR) – Architecture, Deployment and Development. Whatever your degree/discipline, our Graduate Program will...
From FastConnect - Mon, 24 Apr 2017 18:13:03 GMT - View all Purchase, NY jobs
          Python, Sql Developer (Full time & permanent position) - Nityo Infotech - Jersey City, NJ   
GUI - struts, spring, javascript, Big Data -Hadoop, mapR). Python, SQL Developer*.... $130,000 a year
From Indeed - Mon, 12 Jun 2017 22:02:17 GMT - View all Jersey City, NJ jobs
          Product Manager - XDuce - Texas   
Experience working on popular Hadoop distribution platforms like Cloudera, HortonWorks, and / or MapR. Big Data Admin....
From XDuce - Tue, 02 May 2017 03:35:17 GMT - View all Texas jobs
          Data Architect, Big Data - BCD Travel Corporate - United States   
MapR experience preferred. The solutions will need to consider the full enterprise data hub platform including, but not limited to MapR, Data Virtualization and...
From BCD Travel - Wed, 28 Jun 2017 02:38:07 GMT - View all United States jobs
          Big Data Architect - Financial Services - IBM - United States   
4 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights). Is data your jam?...
From IBM - Fri, 16 Jun 2017 06:00:51 GMT - View all United States jobs
          Principal Consultant - Neudesic LLC - United States   
Microsoft, Tableau, AWS and Hadoop (Hortonworks, Claudera, MapR, etc.), certifications a plus. Our Business Intelligence and Big Data capability is comprised of...
From Neudesic LLC - Fri, 09 Jun 2017 21:24:50 GMT - View all United States jobs
          Manager - Incedo - United States   
Big Data Management and Predictive Analytics Practice, Statistical Modeling and Predictive Analytics, Hadoop, Cloudera, Horton Works, MapR....
From Incedo - Wed, 24 May 2017 20:30:55 GMT - View all United States jobs
          Integration Engineer for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Sat, 27 May 2017 07:15:00 GMT - View all Piscataway, NJ jobs
          E2E Solution Architect for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Fri, 26 May 2017 07:13:44 GMT - View all Piscataway, NJ jobs
          SQL Programmer/Modeler - Prometheus Real Estate Group, Inc. - San Mateo, CA   
Good Understanding of Big data concepts and Hadoop distributions like Cloudera or MapR to implement and make use of them (a plus)....
From Prometheus Real Estate Group, Inc. - Wed, 17 May 2017 23:20:11 GMT - View all San Mateo, CA jobs
          Big Data Architect - Ruby - Toronto, ON   
We’re one of Profit 500’s fastest growing Canadian companies and our online communities have been featured on some of the world’s top media properties including...
From Ruby - Fri, 30 Jun 2017 17:01:02 GMT - View all Toronto, ON jobs
          Big Data Analytics Training in Hyderabad   
nalytics Path is very pleased to announce that it offers the Best Big Data Analytics Training Sessions in Hyderabad to leverage huge subject knowledge skill set to the aspirants to pay a career path in trending technology.
          Hiring for Require Predictive Molders with Big Data/ Hadoop Background in Gurgaon, Bengaluru/Bangalo (Job in Kolkata)   
Job Description:CenturyLink http://www.centurylink.com/ is the third largest telecommunications company in the United States and is recognized as a leader in the network services market and a global leader in cloud infrastructure and hosted IT solutions f...
          Hiring for Require Predictive Molders with Big Data/ Hadoop Background in Gurgaon, Bengaluru/Bangalo (Job in Kolkata)   
Job Description:CenturyLink http://www.centurylink.com/ is the third largest telecommunications company in the United States and is recognized as a leader in the network services market and a global leader in cloud infrastructure and hosted IT solutions f...
          Four Key Benefits of Modern Data Classification Tools   
The amount of data required in modern business has exploded in the past decade. The scale of big data has seen consistent and rapid growth every year with 2015 seeing banking, retail and telecoms firms storing more than 30...
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Enterprise Performance Management Manager - Verizon - Basking Ridge, NJ   
Hadoop, HDFS, Hive, HBase, Machine Learning, Predictive and Prescriptive Analytics, Oracle Big Data Discovery....
From Verizon - Thu, 29 Jun 2017 10:58:49 GMT - View all Basking Ridge, NJ jobs
          Senior Data Architect - Stem Inc - San Francisco Bay Area, CA   
Help design, develop and implement a resilient and performant distributed data processing platform using open source Big Data Technologies....
From Stem Inc - Tue, 27 Jun 2017 05:52:01 GMT - View all San Francisco Bay Area, CA jobs
          Req: Big Data Architect   

          Going Reactive: Event-Driven, Scalable & Resilient Systems   

Learn how to building modern, scalable, reactive and resilient applications, ready for the real-time web.

The skills of building Event-Driven, Highly Concurrent, Scalable & Resilient Systems are becoming increasingly important in our new world of Cloud Computing, multi-core processors, Big Data and Real-Time Web.

Unfortunately, many people are still doing it wrong; using the wrong

tools, techniques, habits and ideas. In this talk we will look at what

it means to 'Go Reactive' and discuss some of the most common (and some not so common but superior) practices; what works - what doesn't work - and why.

Jonas Bonér
Jonas Bonér is a geek, programmer, speaker, musician, writer and Java Champion. He is the CTO and co-founder of Typesafe and is an active contributor to the Open Source community; most notably founded the Akka Project and the AspectWerkz AOP compiler (now AspectJ). Learn more at: jonasboner.com

Cast: JavaZone

Tags: JavaZone 2013 Jonas Bonér Arch, Big Data and NoSQL, Distributed systems and cloud and Enterprise


          Red Hat Solutions Architect - MOBIA Technology Innovations - Canada   
Telecom Infrastructure, Converged Infrastructure, Cloud, Security and Big Data. Red Hat Solutions Architect....
From MOBIA Technology Innovations - Mon, 26 Jun 2017 13:15:01 GMT - View all Canada jobs
          DATA SCIENTIST DATA ENGINEER FÜR BIG DATA   
Wachse an technischen Herausforderungen Gehe Deinen nächsten Karriereschritt als DATA SCIENTIST / &hellip;
          Rejoignez le groupe HR Analytics France sur LinkedIn   

Nous sommes heureux de vous annoncer la création du groupe HR Analytics France sur LinkedIn. Échanger sur les thématiques décisionnelles RH, découvrir de nouvelles idées et tendances en matière d’analytique RH, apprendre à décrypter le big data RH, telle est l’ambition de ce groupe HR Analytics France sur LinkedIn. Ce groupe dédié à l’analytique RH […]

Cet article Rejoignez le groupe HR Analytics France sur LinkedIn est apparu en premier sur HAVASU.


          Arquitecto Big Data - BBVA - Bogotá, Cundinamarca   
Gente que se esfuerza y cumple, siempre de forma responsable. En BBVA trabajamos por un futuro mejor para las personas, Entendemos la responsabilidad...
De Fedesoft - Wed, 14 Jun 2017 02:37:00 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Database Administrator / Architect - Morgan Stanley - New York, NY   
Datawarehouse and Big data lake architect , supporting an enterprise datawarehouse platform designed and developed to store , process, curate and distribute the...
From Morgan Stanley - Wed, 22 Mar 2017 15:13:32 GMT - View all New York, NY jobs
          Quality Tools Engineer - Kudelski SA - Mountain View, CA   
Experience on datawarehouse and Big Data architectures (Spark, Hadoop, Cassandra…). The Quality and Tools Engineer will join the Engineering Operations...
From Kudelski SA - Thu, 29 Jun 2017 00:25:24 GMT - View all Mountain View, CA jobs
          Commentaires sur Election Trump la mort des sondages vs Big Data par Pierre Rouarch   
Vous avez raison, il serait intéressant d'analyser toutes les requêtes tapées pour voir si elle sont "positives" ou "négatives" par exemple à partir d'un outil nous fournissant toutes les requêtes contenant "Donald Trump" ou "Hillary Clinton", par exemple Adwords (mais encore là on n'a que les informations que nous donne Google). En revanche, avec les données accessibles publiquement je ne peux pas savoir qu'elle était l'intention de celui ou celle qui a tapé la requête. Google a certainement la possibilité de connaître cette intention et ou en tout cas de "profiler" chaque utilisateur en "pro" ou "con" par rapport a une requête. Pour ma part, comme il ne s'agit pas ici de donner un pourcentage exact des résultats mais un "intérêt" global pour une personnalité, j'ai négligé cet aspect car le modèle avait fonctionné pour les 4 élections précédentes. Si les tendances avaient été proches il aurait certainement été intéressant d'aller plus avant.
          Commentaires sur Election Trump la mort des sondages vs Big Data par Ph.RIS   
Le comportement apparaît effectivement plus objectif que le déclaratif. Cependant, le comportement peut marquer un intérêt positif (j'agis dans le sens de ce que je veux vraiment faire) mais aussi négatif (j'agis pour me moquer, dénigrer, ...). Le second point est-il assez mineur pour être négligé ? Avez-vous mis en place des filtres pour éliminer le comportement négatif non représentatif du choix réel ? En tout cas bravo pour la prédiction.
          Recent Advances in Information and Communication Technology 2017   

Recent Advances in Information and Communication Technology 2017

Recent Advances in Information and Communication Technology 2017: Proceedings of the 13th International Conference on Computing and Information Technology (IC2IT) By Phayung MeesadSunantha SodseeHerwig Unger
English | PDF | 2018 | 367 Pages | ISBN : 331960662X | 39.23 MB
This book includes selected contributions related to big data and data networking, presented at the 13th International Conference on Computing and Information Technology (IC2IT), which was held at the Arnoma Grand Hotel Bangkok, Thailand, July 6-7, 2017. The aim of the conference was to present emerging algorithms, methods and technologies with a high degree of originality, novelty and innovation addressing the conference theme `Mastering Data and Networking'.


          Construindo soluções científicas com Big Data e MapReduce usando Python   

Description

Construindo soluções científicas com Big Data e MapReduce usando Python Palestrante: Marcel Caraciolo


          Senior Advertiser Analyst - Cardlytics - Atlanta, GA   
The big picture 1,500 banks. 120 million customers. 20 billion transactions per year. If you’re looking for big data, you found it. Cardlytics helps...
From Cardlytics - Tue, 20 Jun 2017 16:33:21 GMT - View all Atlanta, GA jobs
          Senior Cloud Engineer/Big Data Architect / Data Science - Corporate Technology - New York, NY   
Perform data analysis with business, understanding business process and structuring both relational and distributed data sets....
From Corporate Technology - Wed, 14 Jun 2017 16:40:06 GMT - View all New York, NY jobs
          Big Data, Part 2: Virtuoso Meets Impala   

In this article we will look at Virtuoso vs. Impala with 100G TPC-H on two R3.8 EC2 instances. We get a single user win for Virtuoso by a factor of 136, and a five user win by a factor of 55. The details and analysis follow.

The load setup is the same as ever, with copying from CSV files attached as external tables into Parquet tables. We get lineitem split over 88 Parquet files, which should provide enough parallelism for the platform. The Impala documentation states that there can be up to one thread per file, and here we wish to see maximum parallelism for a single query stream. We use the schema from the Impala github checkout, with string for string and date columns, and decimal for numbers. We suppose the authors know what works best.

The execution behavior is surprising. Sometimes we get full platform utilization, but quite often only 200% CPU per box. The query plan for Q1, for example, says 2 cores per box. This makes no sense, as the same plan fully well knows the table cardinality. The settings for scanner threads and cores to use (in impala-shell) can be changed, but the behavior does not seem to change.

Following are the run times for one query stream.

Query Virtuoso Impala Notes
332     s 841     s Data Load
Q1 1.098 s 164.61  s
Q2 0.187 s 24.19  s
Q3 0.761 s 105.70  s
Q4 0.205 s 179.67  s
Q5 0.808 s 84.51  s
Q6 2.403 s 4.43  s
Q7 0.59  s 270.88  s
Q8 0.775 s 51.89  s
Q9 1.836 s 177.72  s
Q10 3.165 s 39.85  s
Q11 1.37  s 22.56  s
Q12 0.356 s 17.03  s
Q13 2.233 s 103.67  s
Q14 0.488 s 10.86  s
Q15 0.72  s 11.49  s
Q16 0.814 s 23.93  s
Q17 0.681 s 276.06  s
Q18 1.324 s 267.13  s
Q19 0.417 s 368.80  s
Q20 0.792 s 60.45  s
Q21 0.720 s 418.09  s
Q22 0.155 s 40.59  s
Total 20     s 2724     s

Because the platform utilization was often low, we made a second experiment running the same queries in five parallel sessions. We show the average execution time for each query. We then compare this with the Virtuoso throughput run average times. We permute the single query stream used in the first tests in 5 different orders, as per the TPC-H spec. The results are not entirely comparable, because Virtuoso is doing the refreshes in parallel. According to Impala documentation, there is no random delete operation, so the refreshes cannot be implemented.

Just to establish a baseline, we do SELECT COUNT (*) FROM lineitem. This takes 20s when run by itself. When run in five parallel sessions, the fastest terminates in 64s and the slowest in 69s. Looking at top, the platform utilization is indeed about 5x more in CPU%, but the concurrency does not add much to throughput. This is odd, considering that there is no synchronization requirement worth mentioning between the operations.

Following are the average times for each query in the 5 stream experiment.

Query Virtuoso Impala Notes
Q1 1.95 s 191.81 s
Q2 0.70 s 40.40 s
Q3 2.01 s 95.67 s
Q4 0.71 s 345.11 s
Q5 2.93 s 112.29 s
Q6 4.76 s 14.41 s
Q7 2.08 s 329.25 s
Q8 3.00 s 98.91 s
Q9 5.58 s 250.88 s
Q10 8.23 s 55.23 s
Q11 4.26 s 27.84 s
Q12 1.74 s 37.66 s
Q13 6.07 s 147.69 s
Q14 1.73 s 23.91 s
Q15 2.27 s 23.79 s
Q16 2.41 s 34.76 s
Q17 3.92 s 362.43 s
Q18 3.02 s 348.08 s
Q19 2.27 s 443.94 s
Q20 3.05 s 92.50 s
Q21 2.00 s 623.69 s
Q22 0.37 s 61.36 s
Total for
Slowest Stream
67    s 3740    s

There are 4 queries in Impala that terminated with an error (memory limit exceeded). These were two Q21s, one Q19, one Q4. One stream executed without errors, so this stream is reported as the slowest stream. Q21 will, in the absence of indexed access, do a hash build side of half of lineitem, which explains running out of memory. Virtuoso does Q21 mostly by index.

Looking at the 5 streams, we see CPU between 1000% and 2000% on either box. This looks about 5x more than the 250% per box that we were seeing with, for instance, Q1. The process sizes for impalad are over 160G, certainly enough to have the working set in memory. iostat also does not show any I, so we seem to be running from memory, as intended.

We observe that Impala does not store tables in any specific order. Therefore a merge join of orders and lineitem is not possible. Thus we always get a hash join with a potentially large build side, e.g., half of orders and half of lineitem in Q21, and all orders in Q9. This explains in part why these take so long. TPC-DS does not pose this particular problem though, as there are no tables in the DS schema where the primary key of one would be the prefix of that of another.

However, the lineitem/orders join does not explain the scores on Q1, Q20, or Q19. A simple hash join of lineitem and part was about 90s, with a replicated part hash table. In the profile, the hash probe was 74s, which seems excessive. One would have to single-step through the hash probe to find out what actually happens. Maybe there are prohibitive numbers of collisions, which would throw off the results across the board. We would have to ask the Impala community about this.

Anyway, Impala experts out there are invited to set the record straight. We have attached the results and the output of the Impala profile statement for each query for the single stream run. impala_stream0.zip contains the evidence for the single-stream run; impala-stream1-5.zip holds the 5-stream run.

To be more Big Data-like, we should probably run with significantly larger data than memory; for example, 3T in 0.5T RAM. At EC2, we could do this with 2 I3.8 instances (6.4T SSD each). With Virtuoso, we'd be done in 8 hours or so, counting 2x for the I/O and 30x for the greater scale (the 100G experiment goes in 8 minutes or so, all included). With Impala, we could be running for weeks, so at the very least we'd like to do this with an Impala expert, to make sure things are done right and will not have to be retried. Some of the hash joins would have to be done in multiple passes and with partitioning.

In subsequent articles, we will look at other players in this space, and possibly some other benchmarks, like the TPC-DS subset that Actian uses to beat Impala.


          Virtuoso at SIGMOD 2015   

Two papers presented at SIGMOD 2015 have been added to the Virtuoso Science Library.

  • Orri Erling (OpenLink Software); Alex Averbuch (Neo Technology); Josep Larriba-Pey (Sparsity Technologies); Hassan Chafi (Oracle Labs); Andrey Gubichev (TU Munich); Arnau Prat-Pérez (Universitat Politècnica de Catalunya); Minh-Duc Pham (VU University Amsterdam); Peter Boncz (CWI): The LDBC Social Network Benchmark: Interactive Workload. Proceedings of SIGMOD 2015, Melbourne.

    This paper is an overview of the challenges posed in the LDBC social network benchmark, from data generation to the interactive workload.

  • Mihai Capotă (Delft University of Technology), Tim Hegeman (Delft University of Technology), Alexandru Iosup (Delft University of Technology), Arnau Prat-Pérez (Universitat Politècnica de Catalunya), Orri Erling (OpenLink Software), Peter Boncz (CWI): Graphalytics: A Big Data Benchmark for Graph-Processing Platforms. Sigmod GRADES 2015.

    This paper discusses the future evolution of the LDBC Social Network Benchmark and gives a preview of Virtuoso graph traversal performance.


          Big Data, Part 1: Virtuoso Meets Hive   

In this series, we will look at Virtuoso and some of the big data technologies out there. SQL on Hadoop is of interest, as well as NoSQL technologies.

We begin at the beginning, with Hive, the grand-daddy of SQL on Hadoop.

The test platform is two Amazon R3.8 AMI instances. We compared Hive with the Virtuoso 100G TPC-H experiment on the same platform, published earlier on this blog. The runs follow a bulk load in both cases, with all data served from memory. The platform has 2x244GB RAM with only 40GB or so of working set.

The Virtuoso version and settings are as in the Virtuoso Cluster test AMI.

The Hive version is 0.14 from the Hortonworks HDP 2.2 distribution>. The Hive schema and query formulations are the ones from hive-testbench on GitHub. The Hive configuration parameters are as set by Ambari 2.0.1. These are different from the ones in hive-testbench, but the Ambari choices offer higher performance on the platform. We did run statistics with Hive and did not specify any settings not in the hive-testbench. Thus we suppose the query plans were as good as Hive will make them. Platform utilization was even across both machines, and varied between 30% and 100% of the 2 x 32 hardware threads.

Load time with Hive was 742 seconds against 232 seconds with Virtuoso. In both cases, this was a copy from 32 CSV files into native database format; for Hive, this is ORC (Optimized Row Columnar). In Virtuoso, there is one index, (o_custkey); in Hive, there are no indices.

Query Virtuoso Hive Notes
332     s 742     s Data Load
Q1 1.098 s 296.636 s
Q2 0.187 s >3600     s Hive Timeout
Q3 0.761 s 98.652 s
Q4 0.205 s 147.867 s
Q5 0.808 s 114.782 s
Q6 2.403 s 71.789 s
Q7 0.59  s 394.201 s
Q8 0.775 s >3600     s Hive Timeout
Q9 1.836 s >3600     s Hive Timeout
Q10 3.165 s 179.646 s
Q11 1.37  s 43.094 s
Q12 0.356 s 101.193 s
Q13 2.233 s 208.476 s
Q14 0.488 s 89.047 s
Q15 0.72 s 136.431 s
Q16 0.814 s 105.652 s
Q17 0.681 s 255.848 s
Q18 1.324 s 337.921 s
Q19 0.417 s >3600     s Hive Timeout
Q20 0.792 s 193.965 s
Q21 0.720 s 670.718 s
Q22 0.155 s 68.462 s

Hive does relatively best on bulk load. This is understandable since this is a sequential read of many files in parallel with just compression to do.

Hive's query times are obviously affected by not having a persistent memory image of the data, as this is always streamed from the storage files into other files as MapReduce intermediate results. This seems to be an operator-at-a-time business as opposed to Virtuoso's vectorized streaming.

The queries that would do partitioned hash joins (e.g., Q9) did not finish under an hour in Hive, so we do not have a good metric of a cross-partition hash join.

One could argue that one should benchmark Hive only in disk-bound circumstances. We may yet get to this.

Our next stop will probably be Impala, which ought to do much better than Hive, as it dose not have the MapReduce overheads.

If you are a Hive expert and believe that Hive should have done much better, please let us know how to improve the Hive scores, and we will retry.


          Rethink Big and Europe?s Position in Big Data   

I will here take a break from core database and talk a bit about EU policies for research funding.

I had lunch with Stefan Manegold of CWI last week, where we talked about where European research should go. Stefan is involved in RETHINK big, a European research project for compiling policy advice regarding big data for EC funding agencies. As part of this, he is interviewing various stakeholders such as end user organizations and developers of technology.

RETHINK big wants to come up with a research agenda primarily for hardware, anything from faster networks to greener data centers. CWI represents software expertise in the consortium.

So, we went through a regular questionnaire about how we see the landscape. I will summarize this below, as this is anyway informative.

Core competence

My own core competence is in core database functionality, specifically in high performance query processing, scale-out, and managing schema-less data. Most of the Virtuoso installed base is in the RDF space, but most potential applications are in fact outside of this niche.

User challenges

The life sciences vertical is the one in which I have the most application insight, from going to Open PHACTS meetings and holding extensive conversations with domain specialists. We have users in many other verticals, from manufacturing to financial services, but there I do not have as much exposure to the actual applications.

Having said this, the challenges throughout tend to be in diversity of data. Every researcher has their MySQL database or spreadsheet, and there may not even be a top level catalogue of everything. Data formats are diverse. Some people use linked data (most commonly RDF) as a top level metadata format. The application data, such as gene sequences or microarray assays, reside in their native file formats and there is little point in RDF-izing these.

There are also public data resources that are published in RDF serializations as vendor-neutral, self-describing format. Having everything as triples, without a priori schema, makes things easier to integrate and in some cases easier to describe and query.

So, the challenge is in the labor intensive nature of data integration. Data comes with different levels of quantity and quality, from hand-curated to NLP extractions. Querying in the single- or double-digit terabyte range with RDF is quite possible, as we have shown many times on this blog, but most use cases do not even go that far. Anyway, what we see on the field is primarily a data diversity game. The scenario is data integration; the technology we provide is database. The data transformation proper, data cleansing, units of measure, entity de-duplication, and such core data-integration functions are performed using diverse, user-specific means.

Jerven Bolleman of the Swiss Institute of Bioinformatics is a user of ours with whom we have long standing discussions on the virtues of federated data and querying. I advised Stefan to go talk to him; he has fresh views about the volume challenges with unexpected usage patterns. Designing for performance is tough if the usage pattern is out of the blue, like correlating air humidity on the day of measurement with the presence of some genomic patterns. Building a warehouse just for that might not be the preferred choice, so the problem field is not exhausted. Generally, I’d go for warehousing though.

What technology would you like to have? Network or power efficiency?

OK. Even a fast network is a network. A set of processes on a single shared-memory box is also a kind of network. InfiniBand is maybe half the throughput and 3x the latency of single threaded interprocess communication within one box. The operative word is latency. Making large systems always involves a network or something very much like one in large scale-up scenarios.

On the software side, next to nobody understands latency and contention; yet these are the one core factor in any pursuit of scalability. Because of this situation, paradigms like MapReduce and bulk synchronous parallel (BSP) processing have become popular because these take the communication out of the program flow, so the programmer cannot muck this up, as otherwise would happen with the inevitability of destiny. Of course, our beloved SQL or declarative query in general does give scalability in many tasks without programmer participation. Datalog has also been used as a means of shipping computation around, as in the the work of Hellerstein.

There are no easy solutions. We have built scale-out conscious, vectorized extensions to SQL procedures where one can express complex parallel, distributed flows, but people do not use or understand these. These are very useful, even indispensable, but only on the inside, not as a programmer-facing construct. MapReduce and BSP are the limit of what a development culture will absorb. MapReduce and BSP do not hide the fact of distributed processing. What about things that do? Parallel, partitioned extensions to Fortran arrays? Functional languages? I think that all the obvious aids to parallel/distributed programming have been conceived of. No silver bullet; just hard work. And above all the discernment of what paradigm fits what problem. Since these are always changing, there is no finite set of rules, and no substitute for understanding and insight, and the latter are vanishingly scarce. "Paradigmatism," i.e., the belief that one particular programming model is a panacea outside of its original niche, is a common source of complexity and inefficiency. This is a common form of enthusiastic naïveté.

If you look at power efficiency, the clusters that are the easiest to program consist of relatively few high power machines and a fast network. A typical node size is 16+ cores and 256G or more RAM. Amazon has these in entirely workable configurations, as documented earlier on this blog. The leading edge in power efficiency is in larger number of smaller units, which makes life again harder. This exacerbates latency and forces one to partition the data more often, whereas one can play with replication of key parts of data more freely if the node size is larger.

One very specific item where research might help without having to rebuild the hardware stack would be better, lower-latency exposure of networks to software. Lightweight threads and user-space access, bypassing slow protocol stacks, etc. MPI has some of this, but maybe more could be done.

So, I will take a cluster of such 16-core, 256GB machines on a faster network, over a cluster of 1024 x 4G mobile phones connected via USB. Very selfish and unecological, but one has to stay alive and life is tough enough as is.

Are there pressures to adapt business models based on big data?

The transition from capex to opex may be approaching maturity, as there have been workable cloud configurations for the past couple of years. The EC2 from way back, with at best a 4 core 16G VM and a horrible network for $2/hr, is long gone. It remains the case that 4 months of 24x7 rent in the cloud equals the purchase price of physical hardware. So, for this to be economical long-term at scale, the average utilization should be about 10% of the peak, and peaks should not be on for more than 10% of the time.

So, database software should be rented by the hour. A 100-150% markup for the $2.80 a large EC2 instance costs would be reasonable. Consider that 70% of the cost in TPC benchmarks is database software.

There will be different pricing models combining different up-front and per-usage costs, just as there are for clouds now. If the platform business goes that way and the market accepts this, then systems software will follow. Price/performance quotes should probably be expressed as speed/price/hour instead of speed/price.

The above is rather uncontroversial but there is no harm restating these facts. Reinforce often.

Well, the question is raised, what should Europe do that would have tangible impact in the next 5 years?

This is a harder question. There is some European business in wide area and mobile infrastructures. Competing against Huawei will keep them busy. Intel and Mellanox will continue making faster networks regardless of European policies. Intel will continue building denser compute nodes, e.g., integrated Knight’s Corner with dual IB network and 16G fast RAM on chip. Clouds will continue making these available on demand once the technology is in mass production.

What’s the next big innovation? Neuromorphic computing? Quantum computing? Maybe. For now, I’d just do more engineering along the core competence discussed above, with emphasis on good marketing and scalable execution. By this I mean trained people who know something about deployment. There is a huge training gap. In the would-be "Age of Data," knowledge of how things actually work and scale is near-absent. I have offered to do some courses on this to partners and public alike, but I need somebody to drive this show; I have other things to do.

I have been to many, many project review meetings, mostly as a project partner but also as reviewer. For the past year, the EC has used an innovation questionnaire at the end of the meetings. It is quite vague, and I don’t think it delivers much actionable intelligence.

What would deliver this would be a venture capital type activity, with well-developed networks and active participation in developing a business. The EC is not now set up to perform this role, though. But the EC is a fairly large and wealthy entity, so it could invest some money via this type of channel. Also there should be higher individual incentives and rewards for speed and excellence. Getting the next Horizon 2020 research grant may be good, but better exists. The grants are competitive enough and the calls are not bad; they follow the times.

In the projects I have seen, productization does get some attention, e.g., the LOD2 stack, but it is not something that is really ongoing or with dedicated commercial backing. It may also be that there is no market to justify such dedicated backing. Much of the RDF work has been "me, too" — let’s do what the real database and data integration people do, but let’s just do this with triples. Innovation? Well, I took the best of the real DB world and adapted this to RDF, which did produce a competent piece of work with broad applicability, extending outside RDF. Is there better than this? Well, some of the data integration work (e.g., LIMES) is not bad, and it might be picked up by some of the players that do this sort of thing in the broader world, e.g., Informatica, the DI suites of big DB vendors, Tamr, etc. I would not know if this in fact adds value to the non-RDF equivalents; I do not know the field well enough, but there could be a possibility.

The recent emphasis for benchmarking, spearheaded by Stefano Bertolo is good, as exemplified by the LDBC FP7. There should probably be one or two projects of this sort going at all times. These make challenges known and are an effective means of guiding research, with a large multiplier: Once a benchmark gets adopted, infinitely more work goes into solving the problem than in stating it in the first place.

The aims and calls are good. The execution by projects is variable. For 1% of excellence, there apparently must be 99% of so-and-so, but this is just a fact of life and not specific to this context. The projects are rather diffuse. There is not a single outcome that gets all the effort. In this, the level of engagement of participants is less and focus is much more scattered than in startups. A really hungry, go-getter mood is mostly absent. I am a believer in core competence. Well, most people will agree that core competence is nice. But the projects I have seen do not drive for it hard enough.

It is hard to say exactly what kinds of incentives could be offered to encourage truly exceptional work. The American startup scene does offer high rewards and something of this could be transplanted into the EC project world. I would not know exactly what form this could take, though.


          The Virtuoso Science Library   

There is a lot of scientific material on Virtuoso, but it has not been presented all together in any one place. So I am making here a compilation of the best resources with a paragraph of introduction on each. Some of these are project deliverables from projects under the EU FP7 programme; some are peer-reviewed publications.

For the future, an updated version of this list may be found on the main Virtuoso site.

European Project Deliverables

  • GeoKnow D 2.6.1: Graph Analytics in the DBMS (2015-01-05)

    This introduces the idea of unbundling basic cluster DBMS functionality like cross partition joins and partitioned group by to form a graph processing framework collocated with the data.

  • GeoKnow D2.4.1: Geospatial Clustering and Characteristic Sets (2015-01-06)

    This presents experimental results of structure-aware RDF applied to geospatial data. The regularly structured part of the data goes in tables; the rest is triples/quads. Furthermore, for the first time in the RDF space, physical storage location is correlated to properties of entities, in this case geo location, so that geospatially adjacent items are also likely adjacent in the physical data representation.

  • LOD2 D2.1.5: 500 billion triple BSBM (2014-08-18)

    This presents experimental results on lookup and BI workloads on Virtuoso cluster with 12 nodes, for a total of 3T RAM and 192 cores. This also discusses bulk load, at up to 6M triples/s and specifics of query optimization in scale-out settings.

  • LOD2 D2.6: Parallel Programming in SQL (2012-08-12)

    This discusses ways of making SQL procedures partitioning-aware, so that one can, map-reduce style, send parallel chunks of computation to each partition of the data.

Publications

2015

  • Minh-Duc, Pham, Linnea, P., Erling, O., and Boncz, P.A. "Deriving an Emergent Relational Schema from RDF Data," WWW, 2015.

    This paper shows how RDF is in fact structured and how this structure can be reconstructed. This reconstruction then serves to create a physical schema, reintroducing all the benefits of physical design to the schema-last world. Experiments with Virtuoso show marked gains in query speed and data compactness.

2014

2013

2012

  • Orri Erling: Virtuoso, a Hybrid RDBMS/Graph Column Store. IEEE Data Eng. Bull. (DEBU) 35(1):3-8 (2012)

    This paper introduces the Virtuoso column store architecture and design choices. One design is made to serve both random updates and lookups as well as the big scans where column stores traditionally excel. Examples are given from both TPC-H and the schema-less RDF world.

  • Minh-Duc Pham, Peter A. Boncz, Orri Erling: S3G2: A Scalable Structure-Correlated Social Graph Generator. TPCTC 2012:156-172

    This paper presents the basis of the social network benchmarking technology later used in the LDBC benchmarks.

2011

2009

  • Orri Erling, Ivan Mikhailov: Faceted Views over Large-Scale Linked Data. LDOW 2009

    This paper introduces anytime query answering as an enabling technology for open-ended querying of large data on public service end points. While not every query can be run to completion, partial results can most often be returned within a constrained time window.

  • Orri Erling, Ivan Mikhailov: Virtuoso: RDF Support in a Native RDBMS. Semantic Web Information Management 2009:501-519

    This is a general presentation of how a SQL engine needs to be adapted to serve a run-time typed and schema-less workload.

2008

2007

  • Orri Erling, Ivan Mikhailov: RDF Support in the Virtuoso DBMS. CSSW 2007:59-68

    This is an initial discussion of RDF support in Virtuoso. Most specifics are by now different but this can give a historical perspective.


          AI Will Make Forging Anything Entirely Too Easy   

AI Will Make Forging Anything Entirely Too Easy

We have grown comfortable with a future in which analytics, big data, and machine learning help us to monitor reality and discern the truth. [Link to Full Article]

          Comment on The 3 Lessons I Learned After Accidentally Buying a Liquor Store by jim vezina   
thanks anyway. Since you have "THE" page on liquor stores, It thought I'd ask. We're working on an app to recommend deals to consumers based on analyzing big data. We're just getting ready to launch. Was having trouble getting good stats. Glad you enjoyed Buffalo. It's a good city, but (at least when I was there) not always easy to find the right places.
          (USA-MS-Jackson) Regional Sales Manager   
**About Us:** GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** Job Overview: In this strategic Sales position, the Regional Sales Manager – Digital Sales Direct will be responsible for meeting and exceeding an orders operating plan in the west region across a range of power utilities and industry customers, including identifying sales opportunities within existing and new accounts, prospecting, strategy planning, executive relationship development, and deal closures. **Essential Responsibilities:** In this role, you will: + Develop a solution selling framework for GE business — tailor deal lifecycle, enablement deliverables, required resources, technology support, maturity model, sales methodology etc. + Establish a deep understanding of customers’ business needs by creating value to customers for our solution footprint. + Add value to the customer’s business and maintain a goal oriented approach to the business partnership. + Demonstrate to customers how they benefit by partnering with GE and how our solutions deliver results. + Aggressively develop and drive a sustainable commercial and solution strategy across multiple customer divisions that is aligned to the agreed account goals. + Develop and execute an Account Playbook that formalizes the “go high / go low” strategy for the Enterprise account. Where applicable, develop a joint Governance process with executive sponsorship that aligns along the following pillars – Commercial, Product/Technology, Implementation and Support. + Leverage the “Big GE” by coordinating across multiple GE divisions to solve customer challenges and enhance value and loyalty through the introduction of GE Corporate programs. (e.g. Industrial Internet, Minds + Machines) + Analyzes sales pipeline and maintains an array of opportunities to ensure that sales goals are achieved. + Actively grow and maintain a multi-year account plan that will be shared globally with parts of our business including Marketing, Product Management, Sales, Professional Services, and the Development teams to ensure coordination across the business. + Ensuring a Professional Sales Experience for customers during all aspects of sales process and touch points including: Formal meeting agendas, formal follow-up stating sequence of events and next steps in writing, and issue resolution in a timely fashion. + Formulates the winning proposals based on a cohesive strategy that leverages deep knowledge of industry, customer and GE product. **Qualifications/Requirements:** Basic Qualifications: + Bachelor’s Degree in business, marketing or related discipline + 12+ years of software industry experience minimum with proven track recordEligibility Requirements: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. + Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen + Must be able to travel 50-70% of the time **Desired Characteristics:** + Works with individuals across the GE businesses on how to use Big Data to collect and analyze market information as well as how to present analysis and recommendations to drive strategic commercial decisions + Proactive in seeking out new digital platforms to drive deeper connections with customers – such as heat mapping existing relationships on LinkedIn to identify new sales opportunities, active in industry groups/blogs to gain exposure to target audiences and viewed as a domain expert + Develops acceptable strategies to mitigate risks triggered in RFP's and/or customers' T&Cs while meeting GE business objectives. + Leads the implementation of economic value selling throughout customer organization. + Thoroughly analyzes data to identify trends and issues that translate into a plan for the customer with some connection to seemingly independent problems. + Develops acceptable mitigation strategies that consider T&Cs of customers, competition and partners and key differentiators while also meeting business objectives. + Identifies and prioritizes critical GE resources needed to further the sales effort, negotiating with stakeholders for utilization.Technical Expertise: + Establishes trust and empathy as an advisor to the client; Works collaboratively in pursuit of discovery to define a desired business outcome while also uncovering unknown business outcomes the client has not previously considered; Ensures that a plan is laid out to accomplish all outcomes. + Proactively identifies pipeline risks and develops mitigation plans; Proactively shares 'best practices' to improve pipeline efficiency; Helps to develop sales team relationships with key contacts. + Able to take products, services, solutions knowledge and connect them to customers’ objectives to develop differentiated opportunities for GE; Draws upon non-traditional solutions; Constantly thinks out of the box & outside domain of expertise to develop creative solutions that meet ongoing customer needs.Business Acumen: + Leads the implementation of economic value selling throughout customer organization; Offers assistance and input to others across GE on this topic. + Communicates vertical expertise or future trends within the power utility and industries that drives certain benefits/challenges; Is seen as part of the customer’s team rather than outsider; Utilizes this dialogue to narrow and refine the customers’ objectives or “top-of-mind” thoughts in order to start a joint-brainstorming of potential solutions or to identify industry benchmarks. + Viewed as a thought leader by strategic customers, invited to advise customers based on GE solution knowledge and industry expertise; Brokers introductions and relationship handoffs with customer C-Suite to other GE team members. + Able to use a variety of financial data in building a broad perspective of company and customer business within their respective industry and markets + Understands the financial implication of different value drivers and creatively applies that understanding to impact company/customer metrics, i.e. revenue, profitability, market share. etc.Leadership: + Establishes & communicates team members' roles in relation to their function and data; Shares knowledge, power and credit, establishing trust, credibility, and goodwill; Coordinates role responsibilities with that of others to achieve mutual goals; Encourages groups to work together to efficiently resolve problems. + Able to consistently lead the process to develop winnable strategies; Creatively uses resources to anticipate and solve problems, resulting in innovative solutions that result in customer and GE satisfaction, and finds alternatives beyond the obvious; Keeps a broad perspective on the customer relationship and potential opportunities to increase customer loyalty.\#DTR **Locations:** United States; California, Oregon, Washington; Redmond, San Ramon, West Coast CitiesGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-MS-Jackson) Manager/Sr Manager – Partner Reporting & Analytics   
Overview of the Department: Consumer Products and Services is one of the largest growth engines of American Express and the Co-Brand Partnerships team leads card partnerships as a source of top line growth, scale and strength for the Blue Box. The Portfolio Insights team provides various business solutions for the Co-Brand Partnership team including: reporting & analytics, competitive intelligence, investment management, goal setting, complaints tracking and servicing. This integral role will be a part of the reporting and analysis functions for the Co-Brand Partnership organization. The ideal candidate will have a unique blend of technical skills, curiosity for insights, ability to synthesize large amounts of data and marketing fluency. This role will provide the opportunity to work directly with senior leaders and cross functional partners, develop a broad perspective of Co-Brand Partnerships, and leverage data in order to drive business growth. The role is a great opportunity for someone with marketing analytics experience looking to apply their skills in a fast-paced environment on high impact initiatives. Job Responsibilities: * Consult with team to understand data requirements to create ad-hoc, custom reports that support product specific initiatives across the Co-Brand Partnerships team (with a focus on the Hilton portfolio) * Develop advanced understanding of CPS data sources and potential usage scenarios * Translate complex, analytical output into easily digested insights across portfolios and identify areas of opportunity * Provide robust analytics to drive the strategy behind transformational initiatives * Incorporate/leverage new data sources to expand data/analytics * Leverage complex data sources to extract meaningful data and perform required testing, quality control, and testing of data before arriving at final data set for team * Partner closely with multiple organizations including Marketing, Finance and RIM * Manage projects with autonomy Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa * 4 - 10 years in deep analytics and presenting research/insights/findings to stakeholders * Strong quantitative skills and experience working with large amounts of data via SAS/SQL/Teradata programming and/or Big Data tools (i.e. IDN, Cornerstone, CSBS Datamart) * Programming background, software development, coding proficiency * Strong quantitative skills and proven track record delivering business insights through analytics * Strategic thinking and problem-solving skills * Experience in marketing analytics * Ability to operate independently and make critical decisions regarding high visibility deliverables with tight timelines * High quality written and oral communication skills with proven success interpreting business needs and driving results * Internal drive to challenge and improve upon the status quo * Demonstrated ability to handle multiple requests and prioritize accordingly * Excellent relationship building skills – enjoys working as part of a larger team and fostering relationships. * Strong communication skills – equally capable of dealing with a partner, peer, direct report, or senior leader * Advanced degree in statistics, mathematics, operations research, economics, engineering or equivalent Educational requirement: * Degree in Statistics, Engineering or Advanced Analytics preferred **Job** *Marketing* **Title:** *Manager/Sr Manager – Partner Reporting & Analytics* **Location:** *AL-Montgomery* **Requisition ID:** *17007924*
          Unlocking Intelligence   
IoT software and analytics are unlocking the value of big data, driving consolidation and competition for leading platforms.
          Software Development Engineer - Huawei Canada - Markham, ON   
Huawei is seeking a Software Development Engineer to join our Big Data Analytics team at the Canada Research Centre in Markham....
From Huawei Canada - Thu, 15 Jun 2017 09:33:55 GMT - View all Markham, ON jobs
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Arquitecto Big Data - BBVA - Bogotá, Cundinamarca   
Gente que se esfuerza y cumple, siempre de forma responsable. En BBVA trabajamos por un futuro mejor para las personas, Entendemos la responsabilidad...
De Fedesoft - Wed, 14 Jun 2017 02:37:00 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Big Data developer   

          How Big Data Will Change Our World   

The post How Big Data Will Change Our World appeared first on The Learning Catalyst.


          Security Analytics - Visualization - Big Data Workshop Black Hat 2017   


VISUAL ANALYTICS – DELIVERING ACTIONABLE SECURITY INTELLIGENCE


BlackHat 2017 - Las Vegas


Big Data is Getting Bigger - Visualization is Getting Easier - Learn How!
Dates: July 22-23 & 24-25
Location: Las Vegas, USA

SIGN UP NOW


OVERVIEW

Big data and security intelligence are the two very hot topics in security. We are collecting more and more information from both the infrastructure, but increasingly also directly from our applications. This vast amount of data gets increasingly hard to understand. Terms like map reduce, hadoop, spark, elasticsearch, data science, etc. are part of many discussions. But what are those technologies and techniques? And what do they have to do with security analytics/intelligence? We will see that none of these technologies are sufficient in our quest to defend our networks and information. Data visualization is the only approach that scales to the ever changing threat landscape and infrastructure configurations. Using big data visualization techniques, you uncover hidden patterns of data, identify emerging vulnerabilities and attacks, and respond decisively with countermeasures that are far more likely to succeed than conventional methods. Something that is increasingly referred to as hunting. The attendees will learn about log analysis, big data, information visualization, data sources for IT security, and learn how to generate visual representations of IT data. The training is filled with hands-on exercises utilizing the DAVIX live CD.



What's New?

The workshop is being heavily updated over the next months. Check back here to see a list of new topics:

  • Security Analytics - UEBA, Scoring, Anomaly Detection
  • Hunting
  • Data Science
  • 10 Challenges with SIEM and Big Data for Security
  • Big Data - How do you navigate the ever growing landscape of Hadoop and big data technologies? Tajo, Apache Arrow, Apache Drill, Druid, PrestoDB from Facebook, Kudu, etc. We'll sort you out.


SYLLABUS

The syllabus is not 100% fixed yet. Stay tuned for some updates.

Day 1:

Log Analysis

  • Data Sources Discussion - including PCAP, Firewall, IDS, Threat Intelligence (TI) Feeds, CloudTrail, CloudWatch, etc.
  • Data Analysis and Visualization Linux (DAVIX)
  • Log Data Processing (CSVKit, ...)

SIEM, and Big Data

  • Log Management and SIEM Overview
  • LogStash (Elastic Stack) and Moloch
  • Big Data - Hadoop, Spark, ElasticSearch, Hive, Impala

Data Science

  • Introduction to Data Science
  • Introduction to Data Science with R
  • Hunting

Day 2:

Visualization

  • Information Visualization History
  • Visualization Theory
  • Data Visualization Tools and Libraries (e.g., Mondrian, Gephi, AfterGlow, Graphiti)
  • Visualization Resources

Security Visualization Use-Cases

  • Perimeter Threat
  • Network Flow Analysis
  • Firewall Visualization
  • IDS/IPS Signature Analysis
  • Vulnerability Scans
  • Proxy Data
  • User Activity
  • Host-based Data Analysis



Sample of Tools and Techniques

Tools to gather data:

  • argus, nfdump, nfsen, and silk to process traffic flows
  • snort, bro, suricata as intrusion detection systems
  • p0f, npad for passive network analysis
  • iptables, pf, pix as examples of firewalls
  • OSSEC, collectd, graphite for host data

We are also using a number of visualization tools to analyze example data in the labs:

  • graphviz, tulip, cytoscape, and gephi
  • afterglow
  • treemap
  • mondrian, ggobi

Under the log management section, we are going to discuss:

  • rsyslog, syslog-ng, nxlog
  • logstash as part of the elastic stack, moloch
  • commercial log management and SIEM solutions

The section on big data is covering the following:

  • hadoop (HDFS, map-reduce, HBase, Hive, Impala, Zookeper)
  • search engines like: elastic search, Solr
  • key-value stores like MongoDB, Cassandra, etc.
  • OLAP and OLTP
  • The Spark ecosystem


SIGN UP

TRAINER

Raffael Marty is vice president of security analytics at Sophos, and is responsible for all strategic efforts around security analytics for the company and its products. He is based in San Francisco, Calif. Marty is one of the world's most recognized authorities on security data analytics, big data and visualization. His team at Sophos spans these domains to help build products that provide Internet security solutions to Sophos' vast global customer base.

Previously, Marty launched pixlcloud, a visual analytics platform, and Loggly, a cloud-based log management solution. With a track record at companies including IBM Research, ArcSight, and Splunk, he is thoroughly familiar with established practices and emerging trends in the big data and security analytics space. Marty is the author of Applied Security Visualization and a frequent speaker at academic and industry events. Zen meditation has become an important part of Raffy's life, sometimes leading to insights not in data but in life.


          Всюду жизнь   
В Google+ не все умерло. Есть интересные подборки. Например:

Big Data
Blockchain

Отсюда


          Senior Advertiser Analyst - Cardlytics - Atlanta, GA   
The big picture 1,500 banks. 120 million customers. 20 billion transactions per year. If you’re looking for big data, you found it. Cardlytics helps...
From Cardlytics - Tue, 20 Jun 2017 16:33:21 GMT - View all Atlanta, GA jobs
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          ENGINEER.III.SOFTWARE ENGINEERING.CISCO - Cisco - Hyderabad, Telangana   
Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and...
From Cisco Systems - Fri, 30 Jun 2017 08:32:03 GMT - View all Hyderabad, Telangana jobs
          Big Data Junior Developer - FastConnect - Purchase, NY   
Experience in Hadoop (Cloudera, HortonWorks and/or MapR) – Architecture, Deployment and Development. Whatever your degree/discipline, our Graduate Program will...
From FastConnect - Mon, 24 Apr 2017 18:13:03 GMT - View all Purchase, NY jobs
          Python, Sql Developer (Full time & permanent position) - Nityo Infotech - Jersey City, NJ   
GUI - struts, spring, javascript, Big Data -Hadoop, mapR). Python, SQL Developer*.... $130,000 a year
From Indeed - Mon, 12 Jun 2017 22:02:17 GMT - View all Jersey City, NJ jobs
          Product Manager - XDuce - Texas   
Experience working on popular Hadoop distribution platforms like Cloudera, HortonWorks, and / or MapR. Big Data Admin....
From XDuce - Tue, 02 May 2017 03:35:17 GMT - View all Texas jobs
          Data Architect, Big Data - BCD Travel Corporate - United States   
MapR experience preferred. The solutions will need to consider the full enterprise data hub platform including, but not limited to MapR, Data Virtualization and...
From BCD Travel - Wed, 28 Jun 2017 02:38:07 GMT - View all United States jobs
          Big Data Architect - Financial Services - IBM - United States   
4 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights). Is data your jam?...
From IBM - Fri, 16 Jun 2017 06:00:51 GMT - View all United States jobs
          Principal Consultant - Neudesic LLC - United States   
Microsoft, Tableau, AWS and Hadoop (Hortonworks, Claudera, MapR, etc.), certifications a plus. Our Business Intelligence and Big Data capability is comprised of...
From Neudesic LLC - Fri, 09 Jun 2017 21:24:50 GMT - View all United States jobs
          Manager - Incedo - United States   
Big Data Management and Predictive Analytics Practice, Statistical Modeling and Predictive Analytics, Hadoop, Cloudera, Horton Works, MapR....
From Incedo - Wed, 24 May 2017 20:30:55 GMT - View all United States jobs
          Integration Engineer for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Sat, 27 May 2017 07:15:00 GMT - View all Piscataway, NJ jobs
          E2E Solution Architect for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Fri, 26 May 2017 07:13:44 GMT - View all Piscataway, NJ jobs
          SQL Programmer/Modeler - Prometheus Real Estate Group, Inc. - San Mateo, CA   
Good Understanding of Big data concepts and Hadoop distributions like Cloudera or MapR to implement and make use of them (a plus)....
From Prometheus Real Estate Group, Inc. - Wed, 17 May 2017 23:20:11 GMT - View all San Mateo, CA jobs
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Cloud Full Stack Engineer - Infox Consulting - Bellevue, PE   
Familiarity with big data engines (Hadoop/MongoDB/etc). Design and implement the following:. As a Cloud Full Stack Engineer you will have the opportunity to...
From INFOX Consulting - Fri, 23 Jun 2017 10:56:36 GMT - View all Bellevue, PE jobs
          Analyste-programmeur BI - CGI - Lac-Saint-Jean, QC   
Connaissances en Big Data (gestion des données et/ou outils) un atout; L'analyste-programmeur BI assure la définition et l'évolution des fonctionnalités des...
From CGI - Wed, 26 Apr 2017 19:53:56 GMT - View all Lac-Saint-Jean, QC jobs
          Database Administrator / Architect - Morgan Stanley - New York, NY   
Datawarehouse and Big data lake architect , supporting an enterprise datawarehouse platform designed and developed to store , process, curate and distribute the...
From Morgan Stanley - Wed, 22 Mar 2017 15:13:32 GMT - View all New York, NY jobs
          Quality Tools Engineer - Kudelski SA - Mountain View, CA   
Experience on datawarehouse and Big Data architectures (Spark, Hadoop, Cassandra…). The Quality and Tools Engineer will join the Engineering Operations...
From Kudelski SA - Thu, 29 Jun 2017 00:25:24 GMT - View all Mountain View, CA jobs
          Software Engineer II - Microsoft - Redmond, WA   
Providing lighting fast time-to-insight over big data is today’s hottest trend. Continuously dropping storage prices enable new scenarios everyday where data
From Microsoft - Sat, 03 Jun 2017 07:23:35 GMT - View all Redmond, WA jobs
          Senior Software Engineer - Microsoft - Redmond, WA   
Providing lighting fast time-to-insight over big data is today’s hottest trend. Continuously dropping storage prices enable new scenarios everyday where data
From Microsoft - Thu, 25 May 2017 01:20:46 GMT - View all Redmond, WA jobs
          Join Dependency Sorting   

In our latest installment of “R and big data” let’s again discuss the task of left joining many tables from a data warehouse using R and a system called "a join controller" (last discussed here). One of the great advantages to specifying complicated sequences of operations in data (rather than in code) is: it is … Continue reading Join Dependency Sorting

The post Join Dependency Sorting appeared first on All About Statistics.


          Big Data Warriors Formulate Winning Analytics Strategies   
The real-time battle to derive business benefits from data analytics deployments is seen through the eyes of front-line big data users. This handbook on big data analytics examines the trials and tribulations of big data users who are on the front lines, devising and implementing partial and full-blown applications. Published by: SearchBusinessAnalytics
          NoSQL Writes a New Sequel to the Big Data Management Saga   
NoSQL software is seen answering the need for a more flexible database framework to capture, manipulate and analyze massive amounts of unstructured data. Published by: SearchDataManagement
          To Solve Cybercrime, Some In Silicon Valley Ditch The Data   
Copyright 2014 NPR. To see more, visit Transcript MELISSA BLOCK, HOST: When we hear about a big heist these days it's not usually the result of bank robbers or art thieves. It's some hackers stealing data - credit card numbers, income tax records. This week, it was news of Russian hackers making off with a billion passwords. Steve Henn from our Planet Money team reports on how this crime spree is making some in Silicon Valley rethink their big data obsession. STEVE HENN, BYLINE: If you want to know how valuable your data has become, think of it this way - it's bigger than Bitcoin, accepted in places where your dollars aren't welcome. And look at what your data buys. Gmail, alone, is amazing and free. Facebook, Twitter, Google - all free. YouTube, including videos of ranchers serenading cattle with trombones - you can't buy any of these services with real money. CHRIS SOGHOIAN: It's actually pretty tough to write a check to Google or Facebook or Twitter. What they want is your data.
          Générateur de texte codées pour le fun, facilement décodable par l’être humain   
 plutôt que d’envoyer un texte normal à quelqu’un ou sur les réseaux sociaux, pourquoi ne pas le transformer quelque peu pour attirer l’oeil. Pourquoi ne pas envoyer un message codé pour éviter que les gros analyseurs de Big Data comprennent vraiment ce que vous voulez dire, mais que toute personne intelligente peu décoder sans problème. […]
          /Talend Open Studio for Big Data/6.4.1/TOS_BD-20170623_1246-V6.4.1.zip.MD5   
none
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Coordinate social media outreach. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Senior-System Engineer - BIG DATA - AT&T - Bedminster, NJ   
Knowledge in voice, video, and app technologies (circuit, VoIP, SIP, IMS, AIN, Camel, etc.). Responsible for the performance of any/all functions involved in...
From AT&T - Sat, 03 Jun 2017 05:58:47 GMT - View all Bedminster, NJ jobs
          (IND-Bangalore) Sourcing - Software Engineer (Intern) - India   
**Sourcing - Software Engineer (Intern) - India** + Location: Bangalore, Karnataka, India + Area of Interest Engineer - Software + Job Type Intern + Technology Interest Software Development, Testing + Job Id 1210589 **About Cisco:** The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's transforming our customers businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place to Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco. **Team Description:** Play a crucial role in driving next-gen software innovations including cloud, mobile, desktop or security spaces. You'll build applications that make technology accessible to people on a variety of devices. Imagine, design, and create solutions to transform how we work, live, learn and play. **What You'll Do** + Design, develop, troubleshoot and debug software programs for enhancements and new products. + Develop software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. + Determine hardware compatibility and/or influences hardware design. **Qualifications** + Recent graduate or on your final year of studies towards a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, related majors such as Math, Physics + Minimum of a 8.5 GPA or higher + Solid understanding of computer science fundamentals and software engineering with an aptitude for learning new technologies + Strong knowledge of programming and scripting languages + Possess creative problem solving skills and excellent troubleshooting/debugging skills + Experience in establishing and sustaining excellent relationships with the extended team + Excellent verbal and written skills Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
          (IND-Bangalore) Sourcing - Network Engineer (Full Time) - India   
**Sourcing - Network Engineer (Full Time) - India** + Location: Bangalore, Karnataka, India + Area of Interest Engineer - Network + Job Type New Graduate + Technology Interest Networking + Job Id 1210535 About Cisco: The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's transforming our customers businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place to Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco. Team Description: Let's change the world together. Work directly with our customers and gain hands on experience and exposure into their networks. Be immersed in a small close knit group of cohorts, to collaborate on a variety of projects that have a real impact. You'll learn from industry experts. We value your ideas, perspective on how to get things done. Work on network infrastructures. Deliver business solutions and technology solutions from Data, Security, Mobility, and the Cloud. What You'll Do Join a world class development program that gives you hands-on experience and the ability to earn industry-leading certifications. Be coached and mentored by some of the industry's brightest minds who will help challenge and develop your skills. Join together with a group of other talented graduates and receive professional development while also reaching expected milestones throughout the program. As a Network Engineer you will take one of the below possible routes, based on the business need, your skillset and your preference: Network Consulting Engineer + Develop complex designs, implement Cisco leading edge technologies worldwide and provide optimization services + to the largest networks and customers in the world + Consult to solve problems that cross a broad range of technologies and determine the best solutions for customers + Review network requirements and propose designs to meet business needs + Build and maintain relationships with a variety of customers Qualifications + Recent graduate or on your final year of studies towards a Bachelor's or Master's degree in a technical field, such as Networking, Computer Science, Information Technology, Electrical/Computer Engineering or a similar field + Minimum GPA of 8.5 and above + Fluent in English (verbal and written) + Passionate about networking, information technology or computer science + Knowledge of adjacent technologies, holding Cisco Certifications (e.g., CCNA, CCNP) or industry recognized certifications is a plus + Strong analytical and problem solving skills with ability to troubleshoot technical problems + Ability to multi-task, self-start, and work in a fast-paced team environment and the ability to work independently + Ability to travel to customer sites (amount of travel will vary based upon your role and technology team) Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
          (IND-Bangalore) Sourcing - Network Engineer (Intern) - India   
**Sourcing - Network Engineer (Intern) - India** + Location: Bangalore, Karnataka, India + Area of Interest Engineer - Network + Job Type Intern + Technology Interest Networking + Job Id 1210536 About Cisco: The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's transforming our customers businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place to Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco. Team Description: Let's change the world together. Work directly with our customers and gain hands on experience and exposure into their networks. Be immersed in a small close knit group of cohorts, to collaborate on a variety of projects that have a real impact. You'll learn from industry experts. We value your ideas, perspective on how to get things done. Work on network infrastructures. Deliver business solutions and technology solutions from Data, Security, Mobility, and the Cloud. What You'll Do Join a world class development program that gives you hands-on experience and the ability to earn industry-leading certifications. Be coached and mentored by some of the industry's brightest minds who will help challenge and develop your skills. Join together with a group of other talented graduates and receive professional development while also reaching expected milestones throughout the program. As a Network Engineer you will take one of the below possible routes, based on the business need, your skillset and your preference: Network Consulting Engineer + Develop complex designs, implement Cisco leading edge technologies worldwide and provide optimization services + to the largest networks and customers in the world + Consult to solve problems that cross a broad range of technologies and determine the best solutions for customers + Review network requirements and propose designs to meet business needs + Build and maintain relationships with a variety of customers Qualifications + Recent graduate or on your final year of studies towards a Bachelor's or Master's degree in a technical field, such as Networking, Computer Science, Information Technology, Electrical/Computer Engineering or a similar field + Minimum GPA of 8.5 and above + Fluent in English (verbal and written) + Passionate about networking, information technology or computer science + Knowledge of adjacent technologies, holding Cisco Certifications (e.g., CCNA, CCNP) or industry recognized certifications is a plus + Strong analytical and problem solving skills with ability to troubleshoot technical problems + Ability to multi-task, self-start, and work in a fast-paced team environment and the ability to work independently + Ability to travel to customer sites (amount of travel will vary based upon your role and technology team) Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
          (IND-Bangalore) Sourcing - Software Engineer (Full Time) - India   
**Sourcing - Software Engineer (Full Time) - India** + Location: Bangalore, Karnataka, India + Area of Interest Engineer - Software + Job Type New Graduate + Technology Interest Software Development, Testing + Job Id 1210588 About Cisco: The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's transforming our customers businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place to Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco. Team Description: Play a crucial role in driving next-gen software innovations including cloud, mobile, desktop or security spaces. You'll build applications that make technology accessible to people on a variety of devices. Imagine, design, and create solutions to transform how we work, live, learn and play. What You'll Do + Design, develop, troubleshoot and debug software programs for enhancements and new products. + Develop software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. + Determine hardware compatibility and/or influences hardware design. Qualifications + Recent graduate or on your final year of studies towards a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, related majors such as Math, Physics + Minimum of a 8.5 GPA or higher + Solid understanding of computer science fundamentals and software engineering with an aptitude for learning new technologies + Strong knowledge of programming and scripting languages + Possess creative problem solving skills and excellent troubleshooting/debugging skills + Experience in establishing and sustaining excellent relationships with the extended team + Excellent verbal and written skills Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
          (IND-India) Senior Software Engineer   
American Express is embarking on an exciting transformation driven by an energetic new team of high performers. This group is nimble and creative with the power to shape our technology and product roadmap. If you have the talent and desire to deliver innovative payment products and services at a rapid pace, serving our customers seamlessly across physical, digital, mobile, and social media, join our transformation team! Be part of an enthusiastic, high performing technology team driving execution on a multi-year HR data strategy that will leverage state of the art technologies/capabilities such as Predictive Analytics, Data Visualization, IoT, Chat-Bots, Machine Learning, and API’s in developing solutions for the HR Data Warehouse, HR Data Services, HR Analytics and Employee Solutions Platforms. Our solutions leverage some of the industry’s best in class HR platforms and Reporting/Analytics frameworks (such as Oracle OBIEE, Informatica, Tableau, and PostgreSQL), and are growing in the space. We are seeking an innovative Senior Engineer to help shape our technology and product roadmap and drive the quality delivery of applications and infrastructure components. The role will collaborate closely with business partners, Project Managers, Technical Architects and Leadership as a subject matter expert, to ensure completeness and efficiency of solutions while ensuring adherence to technical standards. The position will also play a critical role partnering with other development teams, testing and quality, and production support, to meet implementation dates and allow smooth transition throughout the development life-cycle. This is a Delivery role that requires hands on experience in the Data Services workspace (i.e. RESTful APIs and HR Domain experience) and frequent interaction with our business partners through the life cycle of the project. * Serving as a core member of the HR Data Services, HR Data Warehouse & Analytics Agile delivery team that designs and develops software applications * Develop Applications that will drive employee digital experience while increasing productivity * Perform hands-on architecture, design, development, and testing, including conducting code reviews and testing in ongoing sprints * Utilize best-of-breed technologies to build applications that will provide value * Be highly motivated and maintain a positive, “can-do” attitude in a fast moving environment * Foster the spirit of collaboration across multiple internal teams * Identify exciting opportunities for adopting new technology to solve existing needs and anticipating future challenges Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations Qualifications : * BS or MS degree in computer science, computer engineering, or 7 years of equivalent work experience in related disciplines preferred * Demonstrated hands-on expertise in design, development, and automated testing, preferably in an agile environment. * Thorough understanding of XML, JSON, Web Services technologies and data structure fundamentals * Proven hands on experience with using and creating web-based RESTful APIs. * Proven hands-on experience with object-oriented design and coding skills across a variety of platforms and languages including Java, C#, ASP.NET, etc. * Good understanding of HTML, CSS3, and JavaScript * Excellent interpersonal and organizational skills * A proven hunger to learn new technologies and translate them into working software * Ability to effectively communicate with internal and external business partners * Demonstrated technical capabilities and ability to work collaboratively and effectively with a range of stakeholders * Hands-on ability to build quick prototype / visuals to assist with high level product concepts, capabilities, and epic stories * Experience with automated release management using tools, technologies, and frameworks like Maven, Subversion, Git, Jenkins and XL Release. * Experience with distributed (multi-tiered) systems, algorithms, and relational databases * Demonstrated experience on RDBMS (Oracle, MS SQL Server) and NOSQL/Big Data technologies (e.g. MongoDB, Neo4j, Cassandra, Postgresql, etc.) * Knowledge and experience with using unit testing frameworks such as Junit * Building of applications in a cloud environment is a plus. Language : English **Job** *Technology* **Title:** *Senior Software Engineer* **Location:** *India-India-Gurgaon* **Requisition ID:** *17008340*
          Senior Product Manager - Service Analytics/ Big Data - Hitachi Data Systems - San Diego, CA   
Comfort in both business and technical forums. Masters degree in Business, Statistics, Computer Science or MIS a strong plus....
From Hitachi Data Systems - Thu, 20 Apr 2017 08:26:11 GMT - View all San Diego, CA jobs
          Watchdog warns against curbing access to public data   
The data protection watchdog has criticised plans by the government to limit public access to official documents. Federal Data Protection and Information Commissioner Adrian Lobsiger said on Monday that attempts to exclude public procurement – as well as most aspects of the intelligence service and certain documents about transport issues – were undermining the principle of transparency in administration. Presenting his office’s annual report, Lobsiger noted that the fees to be paid to receive access had risen by 66% in 2015 compared with the previous year. Lobsiger added that this was in contradiction to a move underway in parliament calling for a cost-free access in principle. The number of requests for access dropped to 551 last year, down about 50 in the previous year. No surrender Lobsiger said he will fight for the individual right for a private sphere against Big Data. He called on online services to ensure that users can understand the business terms and contracts and ...
          Kevin Lano posted a blog post   
Kevin Lano posted a blog post

Model-driven development training course, 25th-26th July, London

A professional short course in model-driven development and software engineering, including:* UML, Agile and Model-based development (MBD)* Domain-specific languages and reuse* Model transformations and code generation* Software modernisation and re-engineering* Big Data analysis techniques* Agent-based techniques* Case studies of successful use of Agile and MBD in financeThe course includes practical instruction and guidance on the effective adoption of Agile and Model-based Development.The course is taught by Howard Haughton, formerly of Deutsche Bank and JP Morgan, and with over 20 years experience in financial software development; Steve Phelps, an expert in financial data analysis, and Kevin Lano, a leading expert in MBD.Cost: £750 per delegate (-10% discount up to 1st July)Location: King's College London, Strand, London WC2R 2LSBooking: https://www.kcl.ac.uk/prospectus/shortcourses/index/name/softwareengineeringforfinanceFor further information see www.dcs.kcl.ac.uk/staff/kcl/fse or contact kevin.lano@kcl.ac.ukSee More

          UMBC Data Science Graduate Programs Start in Fall 2017   

 

UMBC Data Science Graduate Programs

UMBC’s Data Science Master’s program prepares students from a wide range of disciplinary backgrounds for careers in data science. In the core courses, students will gain a thorough understanding of data science through classes that highlight machine learning, data analysis, data management, ethical and legal considerations, and more.

Students will develop an in-depth understanding of the basic computing principles behind data science, to include, but not limited to, data ingestion, curation and cleaning and the 4Vs of data science: Volume, Variety, Velocity, Veracity, as well as the implicit 5th V — Value. Through applying principles of data science to the analysis of problems within specific domains expressed through the program pathways, students will gain practical, real world industry relevant experience.

The MPS in Data Science is an industry-recognized credential and the program prepares students with the technical and management skills that they need to succeed in the workplace.

Why Data Science?

  • Organizations have a growing need for employees who are experts in the management and interpretation of big data;
  • Our classes are taught by industry experts who combine their professional experience with theory to provide a rigorous classroom experience; and
  • Our small classes are taught with a mix of in-person and online instruction, providing students the best of an in-classroom experience while allowing for work-school life balance.

Why UMBC?

The Data Science graduate program at UMBC is designed to respond to the growing regional and national demand for professionals with data science knowledge, skills, and abilities. Bringing together faculty from a wide range of fields who have a deep understanding of the real-world applications of data analytics, UMBC’s Data Science program prepares students for the workplace through hands-on experience, rigorous academics, and access to a robust network of knowledgeable industry professionals. UMBC’s graduate programs in Data Science offers a wide variety of benefits:

  • Exceptional faculty. The Data Science curriculum brings together UMBC’s Departments of Computer Science & Electrical Engineering, Information Systems, Mathematics and Statistics, and several departments from the social sciences to provide students with a rigorous and thorough base of knowledge. Faculty have particular strengths in addressing critical social questions through the application of data science.
  • Rigorous research. UMBC is classified by the Carnegie Foundation as a Research University (High Research Activity).
  • National recognition. For six years running (2009-2014), UMBC was ranked #1 in the U.S. News and World Report’s list of “national up-and-coming” universities
  • Convenient classes. Classes are conveniently offered in the evening on UMBC’s main campus, located just ten minutes from BWI Airport, with easy access to I-95 and the 695 Beltway

For more information and to apply online, see the Data Science MPS site.

The post UMBC Data Science Graduate Programs Start in Fall 2017 appeared first on Department of Computer Science and Electrical Engineering.


          CRMnext Raises Capital from Norwest Venture Partners (NVP) to Accelerate Global Reach   

Delhi, India -- (SBWIRE) -- 05/14/2014 -- CRMnext, a leading global CRM (Customer relationship Management) product company with leadership in more than nine industry verticals, today announced a strategic investment from Norwest Venture Partners (NVP). The fresh capital will be used to accelerate the company's global outreach and fuel investments into its research and innovation portfolio. This move is part of the company's vision to become one of the top five players in the global CRM space across industries changing the dynamics of the global market.

"We are focused on expanding our reach in the global market and this move will accelerate it. Even though we are a very profitable business, this funding will enable us to fuel investments into our research and innovation initiatives. All this will lead to further strengthening of our position as an enterprise class innovator in the CRM space, a space that has seen consolidation resulting in commoditization and has led to lack of real customer focused innovation" said Nishant Singh, CEO, CRMnext on the sidelines of the announcement.

CRMnext runs some of the largest CRM implementations in Asia Pacifc, Africa and Middle East regions. In India today, all the top 3 private banks such as ICICI Bank, AXIS Bank and HDFC Bank use CRMnext. In fact, it has to its credit the largest banking implementation in Asia at HDFC Bank with 40,000+ users across 3,000+ branches in 1,500+ cities. With CRMnext, these organizations have implemented global best practices in customer facing departments, thereby significantly improving their business performance.

Mohan Kumar, Executive Director, NVP India said, "We are happy and excited to be partnering with CRMnext – India's leading CRM solution provider in the BFSI space. The company has built a very strong platform – CRMnext – that helps define business strategies by making sense of big data coming from various customer touch points. Traditional CRM systems do not engage customers or make use of analytics. We believe the CRM market is evolving and next generation CRM systems will be multi-channel, more vertically focused and have a heavier emphasis on customer engagement. At NVP we have invested in a variety of verticals including retail, healthcare and education, and with CRMNext, we found a great company doing the same in the BFSI space."

CRMnext helps manage sales, marketing and customer service across the organization, enables seamless sharing of information by centralizing all customer data and processes. Other customers include thought leaders across various verticals like Pfizer, Max Life Insurance, TATA AIA, Reliance, CRISIL (S&P Co.), Fullerton Financials, Bajaj, IIFL etc.

CRMnext is the only product with a Commutable cloud TM platform, offering an extremely comprehensive private cloud solution. The platform brings flexibility, agility and automatic upgrades to the complex enterprise environments which incumbents have failed to serve. The company has been bestowed with some of the most prestigious awards such as, "Most Promising Product Company" at CIO Review Asia 2014 &"Best CRM Technology Provider of Asia 2013" by World Finance. CRMnext is the flagship product of Acidaes Solutions Pvt. Ltd. which is a specialist customer relationship management product company, providing services to customers in the global market. In this transaction, Mumbai based boutique investment bank Zanskar Advisors was the exclusive financial advisor to Acidaes Solutions Pvt. Ltd.

About Norwest Venture Partners (NVP)
Norwest Venture Partners (NVP) is a global, multi-stage venture and growth equity investment firm that has partnered with entrepreneurs to build great businesses for more than 50 years. The firm manages approximately $5 billion in capital and has funded more than 550 companies since inception. Headquartered in Palo Alto, Calif., NVP has subsidiaries in Mumbai and Bengaluru, India, and Herzelia, Israel. NVP makes early to late-stage venture and growth equity investments across a wide range of sectors including: technology, information services, business services, financial services, consumer products/services and healthcare. For more information visit: www.nvp.com.

About CRMnext
CRMnext is a leading global CRM solution. CRMnext has practice leadership in more than nine industry verticals where it works with companies to help them make most of their relationships with customers. Key vertical editions include Banking, Financial Services, Insurance, Media, Pharmaceutical, Telecom, Entertainment, Energy, Manufacturing etc. CRMnext works closely with its customers, leveraging its extensive domain expertise to enhance their business efficiency by improving processes and practices. This combination of competency and commitment to results is the key to CRMnext's success in the global market.

Acidaes Solutions
Founded in 2002, Acidaes Solutions is a specialist customer relationship management product company, providing services to customers in the global market. CRMnext is the flagship product, available on a commutable cloud model through a single code-base which provides companies with flexibility for their ownership model. The CRMnext team has a proven track record of delivering high impact CRM solutions with strong offerings in 09 verticals including Banking, Insurance, Financial Services, Pharma, Media, Telecom, Automobile, etc. It works very closely with its customers, leveraging its extensive domain expertise to enhance their business efficiency by improving processes and practices. This combination of competency and commitment to results are the key to its success in the global market. Today, CRMnext has to its credit thought leaders across verticals as its customers.

For more information on this press release visit: http://www.sbwire.com/press-releases/crmnext-raises-capital-from-norwest-venture-partners-nvp-to-accelerate-global-reach-507391.htm

Media Relations Contact

Rahul Sheth
Telephone: +91-22-42688222
Email: Click to Email Rahul Sheth
Web: http://www.crmnext.com/


          Sinequa Expands AI Chops to Attack the New Digital Divide Among Enterprises   

Paris-based Sinequa is a privately held software solutions company which provides its customers with insight engines for big data. On July 27, Sinequa announced it is expanding its cloud AI for image recognition and video speech-to-text and natural language translation (NLP), adding Google Vision and Translate and IBM Watson Alchemy for Image Recognition to its

Sinequa Expands AI Chops to Attack the New Digital Divide Among Enterprises can be found on Infinite Group Inc..


          Big Data: Daten sind Geld   
Facebook und seine Werbekunden leben von den persönlichen Daten seiner Nutzer. Dass durch einen Vorstoß des Hamburgischen Datenschutzbeauftragen die strikte Klarnamen-Regelung wieder Gesprächsthema ist, wird dem Konzern gar nicht in den Kram passen.
          Big Data: Wenn Branding auf Technik stößt   
Kreativität ist das größte Gut im Marketing. Oder doch nicht? Ohne technologische Kompetenz geht kaum etwas in der digitalen Werbewirtschaft. Wer den fvw Online Marketing Award 2015 gewinnen will, sollte beides drauf haben. Nutzen Sie die Chance.
          Rich Data: Wer wird wirklich Rich mit Data?   
Aus einer Vision wird in Windeseile Realität. Big Data, die individuelle und hochperformante Aufbereitung von Massendaten, hält Einug in den Reisevertrieb. Aber wer profitiert davon?
          Big Data Architect/ Team Lead   

          The Big Problems of Big Data   
Companies are producing volumes of data. However, no fully functional system is able to provide actionable insights to decision makers in real time. Bayesian methods might pave the way to the solution seekers. In an article published by PHYS and titled Advances in Bayesian Methods for Big Data, the author says: Bayesian methods provide a […]
          Arcadia Data Simplifies Security for Native Visual Analytics on Big Data   
Arcadia Data, provider of the native visual analytics software for big data, has extended support for a unified security and management solution native to Apache Hadoop that includes certified integration with Apache Ranger. This announcement continues the company’s security strategy after the in-cluster security solution announced last year that enhanced its capabilities to deliver secure data directly in Hadoop, cloud, and other modern data platforms without sacrificing granular access control, overcoming the complexities of extraction, data movement and fragmented permission models inherent to legacy BI and analytics architectures that run outside of Hadoop.
          Senior Technical Pre-Sales Consultant - Dell - Toronto, ON   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Mon, 15 May 2017 18:02:28 GMT - View all Toronto, ON jobs
          Senior Pre-Sales Technical Consultant - Dell - Montréal, QC   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Fri, 16 Jun 2017 20:39:48 GMT - View all Montréal, QC jobs
          Senior-System Engineer - BIG DATA - AT&T - Bedminster, NJ   
Knowledge in voice, video, and app technologies (circuit, VoIP, SIP, IMS, AIN, Camel, etc.). Responsible for the performance of any/all functions involved in...
From AT&T - Sat, 03 Jun 2017 05:58:47 GMT - View all Bedminster, NJ jobs
          Supply Chain Analytics Manager munkakörbe keresünk munkatársat. | Feladatok: Analyse overall pe...   
Supply Chain Analytics Manager munkakörbe keresünk munkatársat. | Feladatok: Analyse overall performance availability, stock, waste in the company?s stores and Distribution Centers • Review performance after key Promotional and Event activity to allow teams to understand what worked well and what could have been improved • Participate in creating new models and metrics that improve our ordering performance • Create regular weekly reports on agreed KPI?s • Investigate the reasons for poor ordering performance, identify and communicate the primary causes • Engage partner departments to increase cooperation. | Elvárások: College/University degree • 3 years of experiences at a service company preferably at telecommunication, bank, energy or market research sector • Experience in analysing big data • Strong intermediate English knowledge written and spoken • System approach and complex vision • Logical and analytical thinking • Strong problem solving skills | További elvárások: Retail, Supply Chain operational experience • User level of Microsoft Office applications, MS SQL and VBA • Knowledge in any of the following softwares: • Hadoop • MATLAB • Tableau • Power BI knowledge • Oracle • MicroStrategy • Python, Scala, Java | További infó és jelentkezés itt: www.profession.hu/allas/1041301
          Alkalmazás Fejlesztő munkakörbe keresünk munkatársat. | Feladatok: Nagy rendelkezésre állású, k...   
Alkalmazás Fejlesztő munkakörbe keresünk munkatársat. | Feladatok: Nagy rendelkezésre állású, kiemelt presztízsű portálok és termékek fejlesztése • JAVA, Spring4, Spring Cloud, JPA, Node.js, Angular JS, GIT, JUnit, Mockito, REST, Jira, Bamboo, Confluence használata - ha valamelyiket még nem ismered, tanfolyamon megtanítjuk! • A legmodernebb technológiák felkutatása, kipróbálása CI/CD, AWS, Microservices architektúrák, Big Data, stb.. | Mit ajánlunk: Fokozott biztonságú, több milliós látogatottságú webes megoldások megismerése • Továbbképzési lehetőség, havonta több belső tanfolyam • Felkészült fejlesztőink rendszeres szakmai oktatást adnak egymásnak • Nemzetközi és hazai projektek • Kiválóan megközelíthető iroda Déli pályaudvar metróállomás • Modern munkakörnyezet, Macbook Pro / Toshiba / Dell laptop + telefon • Erős, megkérdőjelezhetetlen referencia • Nyitott vállalati kultúra • 800 kötetes belső technológiai könyvtár, rendszeresen járatott szakmai folyóiratok • Agilis módszertanok használata • Inspiráló szakmai légkör • Sikereink megünneplése • Versenyképes jövedelem és prémium • Saját foci és kosárlabda csapat, ?All you can move? bérlet lehetőség • Cafeteria, egészségügyi szolgáltatások • Korlátlan kávé, tea, méz fogyasztás | Elvárások: JAVA/JS és SQL nyelv ismerete, OOP • Verziókezelő rendszerek ismerete GIT, SVN • Rendszerszintű gondolkodás • Csapatszellem | További elvárások: Jó kódolvasási képesség • Jó tervezési készség • Felsőfokú informatikai vagy ennek megfelelő végzettség • Tapasztalat agilis módszertanokban pl. SCRUM, Kanban • További előnyt jelent, ha ismered a következők közül valamelyiket: Design Patterns, jQuery, Spring, Hibernate, JavaScript, Maven, NoSQL, SQL, JPA, GWT, TDD, i18n, REST, Bash, AngularJS, Node.js | További infó és jelentkezés itt: www.profession.hu/allas/1041464
          Data Engineer - CreditCards.com - Austin, TX   
Experience working within an agile environment. Bankrate Credit Cards is seeking an experienced big data engineer....
From CreditCards.com - Fri, 12 May 2017 22:18:08 GMT - View all Austin, TX jobs
          Verantwoordelijkheid designers: gebruikers laten wennen aan AI   

De rol van designers verandert. Dat big data en artificiële intelligentie (AI) voor de nodige innovatie gaan zorgen, moge inmiddels duidelijk zijn. Maar voordat ook de eindgebruikers gewend zijn aan dat idee moeten bedrijven nog een grote slag maken. Hierin hebben designers een hele grote verantwoordelijkheid. Designers zullen steeds vaker op strategisch niveau meepraten. Grote […]

The post Verantwoordelijkheid designers: gebruikers laten wennen aan AI appeared first on Freshheads Blog.


          TCS Recognized as a Leader in BI Platform Implementation Services   

Mumbai: Tata Consultancy Services (TCS), (BSE: 532540, NSE: TCS) a leading global IT services, consulting and business solutions organization, today announced that it has been positioned asa leader among Business Intelligence (BI) Platform Implementation Service Providers by Forrester Research, Inc., a leading independent research company, in their report,“The Forrester WaveTM: Business Intelligence Platform Implementation Service Providers, Q2 2017.

Forrester selected thirteenof the top global vendors in BI Platform Implementation Services and evaluated them oneighteen different criteria across market presence, strategy and current offerings.

The report highlights TCS’ engineering rigor, methodology and discipline in BI services and recognizes TCS as a vendor that brings, “one of the most impressive BI methodologies (TCS DATOM) to its BI implementation projects.”Forrester also mentions that TCS’ clients ranked its BI capabilities highly across the board and specifically called out its top BI platform deployment, data architecture and regional capabilities.

Business intelligence is the key that every organization needs to unlock the true value of their data. Our BI solutions combine methodologies, innovative intellectual properties, and tools underpinned by Big Data that can transform organizations into intelligent enterprises,” said Dinanath Kholkar, Vice President and Global Head of Analytics & Insights, TCS. “It is an honor to be recognized as a Leader in BI platform implementation services by Forrester and we believe it is a testament to our strength in solving complex business problems with our end to end analytics services capability. We are deeply committed to providing solutions and services focused on realizing business outcomes and ensuring our clients are future-ready,” he added.

TCS offers a wide range expertise around BI Services and has one of the most extensive training and certification requirements for its BI professionals, making them amongst the best in the world.


          Technical Lead - Morgan Stanley - New York, NY   
Evangelist who has the vision to lead DW platform to next levels of maturity by engaging in PoCs in DW, Data Integration, BI Visualization, and Big Data to name...
From Morgan Stanley - Thu, 11 May 2017 21:16:59 GMT - View all New York, NY jobs
          Senior Program Manager - Microsoft - Redmond, WA   
A minimum of 4 years’ experience as a feature PM working with Big Data technologies such as Hadoop, Cosmos, SQL DW etc....
From Microsoft - Fri, 09 Jun 2017 07:27:47 GMT - View all Redmond, WA jobs
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
ESPECIALISTA DATOS BIG DATA OBJETIVO: Responsabilida de la abricación y entrega de las soluciones de consultoría solicitadas por los clientes así como
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Profesional Desarrollo de Negocio / Producto Big Data OBJETIVO: El candidato será responsable de la definición, de la planeación y ejecución de la
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Senior Data Architect - Stem Inc - San Francisco Bay Area, CA   
Help design, develop and implement a resilient and performant distributed data processing platform using open source Big Data Technologies....
From Stem Inc - Tue, 27 Jun 2017 05:52:01 GMT - View all San Francisco Bay Area, CA jobs
          Europa destina 4,3 millones para personalizar tratamientos cáncer y alzhéimer   


La Comisión Europea destinará 4,3 millones de euros al proyecto IASIS con el objetivo de desarrollar tratamientos personalizados para el alzhéimer y el cáncer de pulmón a partir del Big Data de datos clínicos acumulados.

La entrada Europa destina 4,3 millones para personalizar tratamientos cáncer y alzhéimer aparece primero en EFE futuro.


          Beyond Bitcoin: How Enterprises Can Integrate Blockchain into Business #Infographic   
Beyond Bitcoin: How Enterprises Can Integrate Blockchain into Business
In 2016, blockchain technology came close to hitting its peak on Gartner’s annual Hype Cycle, signaling an imminent shift from an emerging, theoretical technology to widespread adoption. Like cloud, big data, and the Internet of Things (IoT) before it, blockchain is the tech industry’s latest Next Big Thing. Analysts and industry experts say it holds immense potential for organizations, but many business leaders don’t yet see a practical application for their operations. While a lot of people know blockchain is the technology behind Bitcoin, Ethereum, and other cryptocurrencies, what about enterprise applications in other industries?

          Graduate executive assistant - major financial ins... [London]   
Our client is a leading technology company. they use scientific techniques, big data and world-class technology to predict future movements in financial markets, and develop the platform to deploy these ideas globally across multiple asset classes. they offer a dynamic, flexible and highly stimulating environment where good ideas are prized and rewarded. the software engineering division is looking for an executive assistant to work closely with the group heads. you will report directly to the d...
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Has basic knowledge of Adobe software (especially Photoshop, Illustrator and Indesign). Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          HRExaminer v8.26   
John Sumser has a fascinating three-part series this week covering the risks, ethics, and liability being introduced to business by artificial intelligence, machine learning, big data, and predictive analytics. Jump in to Part 1 on HR Enterprise Software Liability, then Part 2 covering Basic Ethics Questions, and finish with Part 3 on Questions for your Vendor.


“If you want to do what other people were doing last year, spend a lot of time navel gazing, and define success according to conventional standards.” Read, When Best Practices Don’t Work from Heather Bussing.


In HRIntelligencer 1.05, John Sumser shares Why robotic automation is stumbling, How Blockchains Could Transform AI, Why So Few People Major in Computer Science?, Auditing Black-Box Predictive Models, When AI Botches Your Medical Diagnosis, Will Robots Take My Job?, and how Google’s AlphaGo DeepMind works.


On episode 127 of HR Tech Weekly: New GuideSpark Product, Workday on Medium Enterprise Organizations, Facebook gives up on making the world more open, Google and Microsoft urging court to back gay workers, and European Commission hands Google record $2.72 billion fine.


John Sumser talks with China Gorman, a successful global business executive in the Human Capital Management (HCM) sector. China is a sought-after advisor and speaker bringing the CEO perspective to the challenges of building company culture. China is the author of Data Point Tuesday blog and is published in mainstream media properties like Fortune, TLNT, and Fast Company. Listen to China Gorman on HRExaminer Radio - Executive Conversations.
          AI / ML / Big Data / Predictive Analytics: Risks, Ethics, Liability Part 3 of 3   
John Sumser provides you with a list of questions for your vendor about the utilization of intelligent machines in your HR/Operations processes.
          AI / ML / Big Data / Predictive Analytics: Risks, Ethics, Liability Part 2 of 3   
"HR has been slow to adopt AI and Machine learning. The Sierra-Cedar HRTechnology Industry survey suggests that fewer that 7% of the companies they surveyed are using or considering using Machine Learning technologies in HR." - John Sumser
          Cosmos/Azure Big Data Consultant   

          WISeKey AI integrates swiss startup business investigation on its vertical platform   

https://www.vanillaplus.com/2017/06/30/28403-wisekey-ai-integrates-swiss-startup-business-investigation-vertical-platform/



30 June, 2017 at 8:00 AM

1

WISeKey International Holding Ltd (“WISeKey”),a global cybersecurity, Blockchain and AI company announced today that in cooperation with Business Investigation, a Swiss algorithm based system solution startup, has implemented a proprietary artificial intelligence (AI) system, called WISeAI,that uses sophisticated algorithms to monitor Cybersecurity and Digital Identities for people and objects. The machine learning tool is designed to examine how humans and objects use their computers, mobiles and digital identities when they connect to the Internet, thus protecting users against ransomware, sophisticated malware and the like.

The WISeAI algorithms will be able to detect abnormalities by interpreting the flow of information collected by the sensors secured by WISeKey’s Secure Element being strongly authenticated as provisioned by WISeKey Root of Trust (RoT).

Carlos Moreira

WISeKey’s clients will be able to anticipate and prevent cyberattacks based on the predictive analysis enabled by WISeAI through the integration of Business Investigation algorithms called Global Performance System (GPS). GPS is an artificial intelligence-based solution that uses Machine Learning algorithms to optimise performance and risk management.

The WISeAI goes beyond current AI capabilities as it includes threat detection and machine learning technology push to monitor human behaviour and detect unusual activities by activating an alert.

Through the integration of Business Investigation algorithms into WISeAI, machines learn to perform complex computational operations based on sophisticated algorithms, detect abnormalities by interpreting the flow of information collected by sensors, giving WISeKey’s clients the ability to anticipate potential risks by analysing the big data generated out of the message broker, prevent cyberattacks based on the predictive analysis enabled WISeAI.

Bruno Ciroussel

While IoT remains wildly unsecured, thanks to the integrated solution operated by the WISeKey Vertical Platform, IoT devices would be able to organise themselves into trusted networks based on mutual authentication, identity and integrity. This trusted cybersecurity platform will only enable IoT devices which can provide a recognised identity and a valid integrity report to communicate with peer devices that are part of the trusted community.

Carlos Moreira, WISeKey’s CEO & founder, noted: “We are very happy to team with GPS expanding the WISeKey Artificial Intelligence offering via our WISeAI platform. WISeKey is already using AI on microchips to secure a power IoT devices required on smart city sensors, self-driving cars, health care, finance, entertainment and retail, securing businesses and rendering them more intelligent.”

Bruno Ciroussel, Business Investigation’s CEO, noted: “We are pleased to partner with WISeKey, a major actor in the crucial area of cybersecurity. Through our partnership, we will offer better performance and compliance analysis/understanding using our artificial intelligence algorithms. Integrating WISeKey solutions and platform offers a new exciting field to show the potential of our solution.”

Comment on this article below or via Twitter: @ VanillaPlus OR @jcvplus


          New: Grand Bargains for Big Data: The Emerging Law of Health Information   
Health information technology can save lives, cut costs, and expand access to care. But its full promise will only be realized if policymakers broker a “grand bargain” between providers, patients, and administrative agencies. In exchange for subsidizing systems designed to protect intellectual property and secure personally identifiable information, health regulators should have full access to key data those systems collect. Successful data-mining programs at the Centers for Medicare & Medicaid Services (“CMS”) provide one model. By requiring standardized collection of billing data and hiring private contractors to analyze it, CMS pioneered innovative techniques for punishing fraud. Now it must move beyond deterring illegal conduct and move toward data-driven promotion of best practices. With this aim in mind, CMS is already subsidizing technology, but more than money is needed to optimize the collection, analysis, and use of data. Policymakers need to navigate intellectual ...
          Future Decoded: un evento unico in Italia il 12 novembre 2015 a Roma per dev, ITPro e studenti   

Il 12 novembre a Roma ci sarà Future Decoded, l'evento italiano IT dell'anno, che non dovete perdere assolutamente.

Gli ospiti sono tutti più che importanti:

  • Carlo Purassanta: General Manager, Microsoft Italia
  • Fabio Santini: Director DX Division, Microsoft Italia
  • Giorgio Sardo: Senior Director DX Division, Microsoft Corp
  • Amir Netz: Technical Fellow, Microsoft Corp
  • Erich Gamma: Distinguished Engineer, Microsoft Corp

C'è un nutrito gruppo di speaker che arriva da Redmond e lavora a stretto contatto con i team dei prodotti: Giorgio Sardo (Windows), Amir Netz (PowerBI e Big Data) e il mitico Erich Gamma (il papà di Visual Studio Code).

Nel pomeriggio ci sono tre track, dedicate ai temi per sviluppatori, ITPro e studenti, powered by CommunityDays. Di fatto queste track sono un mini #CDays15 dentro un evento del tutto nuovo e ci ritroverete contenuti e speaker che, se avete mai seguito in questi 10 anni i nostri eventi, vi saranno familiari.

Questo evento rappresenta il prototipo dell'evento ideale, secondo me, perché racchiude un format di sucesso locale, fortemente basato sulle community, (i Community Days) con speaker e un format internazionale (Future Decoded). Non sempre c'è la possibilità di andare alle conferenze internazionali e poterne organizzare una in Italia, con ospiti che portano il punto di vista di chi produce direttamente tecnologie e strumenti che utilizziamo tutti i giorni, è per me il raggiugimento migliore dell'obiettivo di portare la conoscenza della tecnologia un po' a tutti.

Perché è importante partecipare a Future Decoded? Perché è un evento unico in Italia e si respirerà aria di community: ci sarà uno spazio dove poter incontrare le community e gli user group Microsoft. Sono convinto che una buona conferenza sia buona a metà se fatta solo di contenuti e non preveda una parte di networking: lo scambio di esperienze è decisamente alla base di un lavoro come il nostro.

E poi, la nuova Microsoft, con un occhio di riguardo a openess e interoperabilità, nel rispetto della tradizione, è una ventata di aria fresca: quand'è l'ultima volta che avete visto in agenda Microsoft, Linux, MacOSX, Android e iOS tutti insieme?

Abbiamo ancora molte novità da annunciare, ma intanto vi invito a registrarvi gratuitamente e a non perdere questa opportunità. Ci vediamo il 12 novembre a Roma!

PS: se il vostro capo è invidioso, c'è anche una track dedicata ai temi business.

Tags: ,

Continua a leggere Future Decoded: un evento unico in Italia il 12 novembre 2015 a Roma per dev, ITPro e studenti.


(C) 2017 ASPItalia.com Network - All rights reserved


          Closing the Diary   

Originally posted on: http://geekswithblogs.net/andrewbrust/archive/2012/03/12/closing-the-diary.aspx

It is with some sadness that I write this post as my last for the Redmond Diary blog on the Redmond Developer News and Visual Studio Magazine Web sites.

Eleven days ago, I started a new blog for ZDNet covering Big Data, at http://zdnet.com/blog/big-data.  There’s been a ton of interest around Big Data in the industry lately and the topic ties into the database and BI work that I’ve done throughout most of my career.  So when I was asked to write the blog, I really couldn’t say no.  I agreed to write 3 to 4 posts a week at a minimum for Big on Data (the new blog’s name) and that just doesn’t leave me enough time to keep Redmond Diary fresh.  If we kept the latter going with me posting only occasionally, that wouldn’t serve RDN’s and VSM’s readers well, at all.

But I am certainly not going away.  I’ll continue to write my monthly Redmond Review column for both sites, and for VSM’s print edition.  I’ll likely also be doing guest posts on this site every so often.  I’ll proudly continue to co-chair Visual Studio Live! and this year I’ll have a co-chair role in SQL Server Live!, to be held in Orlando this December, as well.  I’ve been working with 1105 and the publications and events it acquired from FTP since 1994, and I have no plan to stop.

My personal blog at www.brustblog.com will stay up, even if it will be refreshed less frequently. And you can sign up for my own free newsletter on Microsoft topics, either by texting the word bluebadge to 22828 (in the US) or going to www.bluebadgeinsights.com and signing up for the list at the upper-right hand corner of any page on the site.

I’ll miss posting here.  But I’m excited to keep learning and writing about Big Data.  How fitting in both cases then, that Microsoft’s Hadoop for Windows technology got me started in this exciting industry area.


          Putting the “BI” in Big Data   

Originally posted on: http://geekswithblogs.net/andrewbrust/archive/2011/10/16/putting-the-ldquobirdquo-in-big-data.aspx

Last week, at the PASS (Professional Association for SQL Server) Summit in Seattle, Microsoft held a coming out party, not only for SQL Server 2012 (formerly “Denali”), but also for the company’s “Big Data” initiative.  Microsoft’s banner headline announcement: it is developing of a version of Apache Hadoop that will run on Windows Server and Windows Azure.  Hadoop is the open source implementation of Google’s proprietary MapReduce parallel computation engine and environment, and it's used (quite widely now) in the processing of streams of data that go well beyond even the largest enterprise data sets in size.  Whether it’s sensor, clickstream, social media, location-based or other data that is generated and collected in large gobs, Hadoop is often on the scene in the service of processing and analyzing it.

Microsoft’s Hadoop release will be a bona fide contribution to the venerable open source project. It will be built in conjunction with Hortonworks, a company with an appropriately elephant-themed name (“Hadoop” was the name of the toy elephant of its inventor’s son) and strong Yahoo-Hadoop pedigree.  Even before PASS, Microsoft had announced Hadoop connectors for its SQL Server Parallel Data Warehouse Edition (SQL PDW) appliance.  But last week Microsoft announced things that would make Hadoop its own – in more ways than one.

Yes, Hadoop will run natively on Windows and integrate with PDW.  But Microsoft will also make available an ODBC driver for Hive, the data warehousing front-end for Hadoop developed by FaceBook. What’s the big deal about an ODBC driver?  The combination of that driver and Hive will allow PowerPivot and SQL Server Analysis Services (in its new “Tabular mode”) to connect to Hadoop and query it freely.  And that, in turn, will allow any Analysis Services front end, including PowerView (until last week known by its “Crescent” code name), to perform enterprise-quality analysis and data visualization on Hadoop data.  Not only is that useful, it’s even a bit radical.

As powerful as Hadoop is, it’s more of a computer scientist’s or academically-trained analyst’s tool than it is an enterprise analytics product.  Hadoop tends to deal in data that is less formally schematized than an enterprise’s transactional data, and Hadoop itself is controlled through programming code rather than anything that looks like it was designed for business unit personnel.  Hadoop data is often more “raw” and “wild” than data typically fed to data warehouse and OLAP (Online Analytical Processing) systems.  Likewise, Hadoop practitioners have had to be a bit wild too, producing analytical output perhaps a bit more raw than what business users are accustomed to.

But assuming Microsoft makes good on its announcements (and I have pretty specific knowledge that indicates it will), then business users will be able to get at big data, on-premise and in-cloud, and will be able to do so using Excel, PowerPivot, and other tools that they already know, like and with which they are productive.

Microsoft’s Big Data announcements show that Redmond’s BI (Business Intelligence) team keeps on moving.  They’re building great products, and they’re doing so in a way that makes powerful technology accessible by a wide commercial audience.  For the last seven years, SQL Server’s biggest innovations have been on the BI side of the product.  This shows no sign of stopping any time soon, especially since Microsoft saw fit to promote Amir Netz, the engineering brain trust behind Microsoft BI since its inception, to Technical Fellow.  This distinction is well-deserved by Mr. Netz and its bestowal is a move well-played by Microsoft.

Last week’s announcements aren’t about just Big Data; they’re about Big BI, now open for Big Business.


          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
ESPECIALISTA DATOS BIG DATA OBJETIVO: Responsabilida de la abricación y entrega de las soluciones de consultoría solicitadas por los clientes así como
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Profesional Desarrollo de Negocio / Producto Big Data OBJETIVO: El candidato será responsable de la definición, de la planeación y ejecución de la
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Big Data Architect   

          Big Data Architect   

          Solidsoft Reply needs your talent...   

Originally posted on: http://brustblog.com/archive/2015/10/05/167336.aspx

Solidsoft Reply is in recruiting mode.  We are the UK’s leading integration specialists on the Microsoft Platform with a decade and a half experience of hard-core development using BizTalk Server and related technologies.  These days, of course, we focus much of our attention on cloud-based integration technologies.  However, we have seen a surge of interest in BizTalk Server over the last couple of years.  Much of this has been driven by the ever-growing adoption of Dynamics (AX, CRM) within the enterprise.  In the face of concerted competition from some of the new iPaaS kids-on-the-block, BizTalk Server continues to attract new customers at a very healthy rate.   Not only are we involved in more concurrent BizTalk projects than at any time in our history, the average size and value of those projects has increased noticeably.

We are a conservative lot when it comes to hiring.  We have always placed a high value on experience and capability.  Our reputation depends on it.  Our team of approximately twenty full-time BizTalk specialists has been growing in recent months, but we need to extend that team further to cope with current and projected demand.  We are looking to employee another two or three people with proven BizTalk Server development and consulting skills, experience of enterprise-level development and the aptitude to work closely with corporate customers.  These people will join the team as full-time employees, working with other members of our team and alongside our wider community of associates.  Most of the BizTalk development we do is team-based and involves EAI and the design and implementation of enterprise service bus capabilities.  We need people with experience and understanding of the full development life-cycle.  If you are looking to take your career beyond development into technical consultancy and leadership, we offer the opportunity to expand your horizons.

As well as BizTalk Server, we have a wider involvement in development on the Azure platform.  We have one team working on one of the largest Azure development projects undertaken in Europe.  We are working closely with Microsoft on early real-world Service Fabric-based development.  We are building our capabilities in BI, BCDR and Azure-based managed services.  Most of our integrations customers have a direct interest in cloud computing and plan to exploit cloud-based approaches alongside more traditional enterprise integration models.  If you want to extend your knowledge and experience of cloud-enabled integration using Azure services such as the service bus and App Service, then consider a career with us.

Solidsoft Reply is part of the greater Reply family, a network of highly specialised companies that  help their customers develop business models to optimise and integrate processes, applications and devices and use new technology and communication paradigms such as Big Data, Cloud Computing, Digital Communication, Internet of Things and Mobile and Social Networking.  Reply operates across Europe and several other regions.  Solidsoft Reply is based in the UK (Basingstoke) and Italy.

If you think you could find a home at Solidsoft Reply, let me know via this blog site or contact us directly at solidsoft@reply.eu with your current CV.
          Sr. JAVA Developer (Leadership, Big Data) - (Burlington)   
Our client, a health analytics software start-up, is looking for both a lead software engineer and senior software engineers. The emphasis here is more on back end and mid tier. The Software Developer is part of an agile development team building and working on enterprise grade software systems on using JVM Languages and Big Data technologies.
          Big Data Hadoop Consultant - (Boston)   
Organization: Digital Growth Platform - Analytics DeliveryTravel: 80% (Monday - Friday)Position: Analytics Delivery a€“ Big Data ConsultantThe digital revolution is changing everything. It's everywhere a€“ transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter?
          Technical Account Manager - (Boston)   
Qubole, the fastest growing big data-as-a-service company, is looking for a Technical Account Manager to join our team. Qubole?s cloud service provides a fast, easy and reliable path to turn big data into valuable business insights for companies like Autodesk, Pinterest, Under Armour and Oracle. We sit at the intersection of two of the largest and most exciting trends in technology: Cloud and Big Data.
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Has basic knowledge of Adobe software (especially Photoshop, Illustrator and Indesign). Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Five Trends Poised To Rock Education   

In the February 17th issue of eSchoolNews, Managing Editor Laura Devaney reports that five trends are reaching maximum impact and are about to transform education.  Educational futurist Jason Ohler identifies the 5 trends that are changing just about everything as: Big data, Immersion, The Semantic Web, Extreme BYOD and Transmedia Storytelling.  To read this entire […]

The post Five Trends Poised To Rock Education appeared first on WGBY Education.


          Big Data Developer - Intelligent Solutions - JP Morgan Chase - New York, NY   
Experience with machine learning is preferred. Knowledge of industry leading Business Intelligence tools. Consistently evaluates decisions in terms of impact to...
From JPMorgan Chase - Tue, 09 May 2017 10:34:19 GMT - View all New York, NY jobs
          Senior Manager – Big Data Engineering - Capital Markets Placement - New York, NY   
We’re looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a...
From CMP.jobs - Mon, 01 May 2017 09:22:09 GMT - View all New York, NY jobs
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          Senior Global Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Fri, 30 Jun 2017 01:41:43 GMT - View all Phoenix, AZ jobs
          Supervisor Inbound Sales and Care - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Thu, 29 Jun 2017 21:40:58 GMT - View all Phoenix, AZ jobs
          Senior Enterprise Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Thu, 29 Jun 2017 17:39:51 GMT - View all Phoenix, AZ jobs
          Global Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Tue, 09 May 2017 21:59:19 GMT - View all Phoenix, AZ jobs
          Channel Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Mon, 05 Jun 2017 19:50:29 GMT - View all Phoenix, AZ jobs
          Η αέναος σχέση του καρκίνου με τη ζωή   

Σπύρος Μανουσέλης - Εφημερίδα των Συντακτών

 

Η εμφάνιση των «αποσυνάγωγων κυττάρων» του καρκίνου και η ανάπτυξη νεοπλασιών σε διάφορους ανθρώπινους ιστούς φαίνεται να είναι εντελώς άναρχη και χαοτική.

Στην πραγματικότητα όμως η σύγχρονη ογκολογία διαπιστώνει καθημερινά ότι υπάρχουν κάποια εγγενή βιολογικά όρια και συγκεκριμένες αναπαραγωγικές δυναμικές που προκαθορίζουν τη φαινομενικά άναρχη αναπαραγωγή των καρκινικών κυττάρων.

Μια ιδιοτελής δυναμική επιβίωσης των μεταλλαγμένων κυττάρων που, μολονότι είναι καταστροφική για τον οργανισμό, ακολουθεί κάποια προδιαγεγραμμένα και άρα δυνητικά προβλέψιμα εξελικτικά πρότυπα.

Υπο μια αυστηρά βιολογική-εξελικτική αλλά και αμιγώς ιατρική έννοια ο καρκίνος είναι όχι μόνο η απορρύθμιση της ζωής ενός οργανισμού, αλλά και η συνέπεια της βιολογικής του εξέλιξης.

Αυτή τη συγκλονιστική ιδέα αλλά και τις νέες θεραπευτικές δυνατότητες που αυτή ανοίγει παρουσίασαν με τις εισηγήσεις τους οι πολυάριθμοι ξένοι και Ελληνες ειδικοί, οι οποίοι συμμετέχουν στο διεθνές συνέδριο που ξεκίνησε πριν από δύο ημέρες στη Θεσσαλονίκη.

Για όλα αυτά θα μιλήσουμε σήμερα με τον Ιωάννη Μπουκοβίνα, πρόεδρο της Εταιρείας Ογκολόγων-Παθολόγων Ελλάδας (ΕΟΠΕ) και της οργανωτικής επιτροπής αυτού του πρωτοποριακού συνεδρίου.

Ιωάννης Μπουκοβίνας, πρόεδρος της Εταιρείας Ογκολόγων-Παθολόγων Ελλάδας (ΕΟΠΕ)

Συνήθως στα ιατρικά συνέδρια και ειδικότερα σε αυτά της ογκολογίας περιμένει κανείς να ακούσει -σε μια γλώσσα ακατάληπτη για τον μη ειδικό ακροατή- για τις τελευταίες διαγνωστικές και θεραπευτικές εξελίξεις στην αντιμετώπιση του καρκίνου.

Στο συνέδριο, που ολοκληρώνεται σήμερα στη Θεσσαλονίκη, δεν συνέβη αυτό!

Οι περισσότερες εισηγήσεις στόχευαν στην ανίχνευση ενός νέου και, εν πολλοίς, αχαρτογράφητου γνωστικού πεδίου, το οποίο αναζητά τα αίτια της ανάδυσης θανατηφόρων παθήσεων στους βιολογικούς μηχανισμούς που επινοήθηκαν από την εξέλιξη για να συντηρούν τη ζωή.

Ετσι εξηγείται το γιατί η οργανωτική επιτροπή του συνεδρίου, που αποτελείται από τέσσερις διακεκριμένους Ελληνες ιατρούς, τον Π. Κοσμίδη, τον Ι. Μπουκοβίνα, τον Γ. Σαμώνη και τον O. Ζώρα, φρόντισε να προσκαλέσει όχι μόνο καταξιωμένους ιατρούς αλλά ειδικούς από διάφορα γνωστικά πεδία.

Ομως για το σκεπτικό και τους στόχους αυτού του φιλόδοξου συνεδρίου θα ήταν καλύτερα να μας μιλήσει ένας από τους εμπνευστές του, ο Ιωάννης Μπουκοβίνας.

● Απ’ όσο γνωρίζουμε ο καρκίνος είναι μια ακραία παθολογική κατάσταση του οργανισμού, γνωστή στην Ιατρική από την αρχαιότητα. Στο πέρασμα των αιώνων έχει αυξηθεί σημαντικά η ιατρική κατανόηση τόσο των παθογόνων αιτιών όσο και της δυναμικής αυτής της θανατηφόρου νόσου. Γιατί λοιπόν τόσο συχνά αυτή η βαθύτερη επιστημονική κατανόηση δεν μεταφράζεται σε αποτελεσματικές θεραπείες;

Οι τελευταίες στατιστικές μελέτες δείχνουν πόσο μακριά είμαστε από μια νίκη εναντίον του καρκίνου.

Στις ΗΠΑ ο κίνδυνος ανάπτυξης καρκίνου στη διάρκεια της ζωής ενός άντρα είναι 42% και μίας γυναίκας 38%, σύμφωνα με την American Cancer Society.

Στο Ηνωμένο Βασίλειο, σύμφωνα με το Cancer Research UK, εκτιμάτε ότι το 54% των αντρών και το 48% των γυναικών θα νοσήσουν από καρκίνο σε κάποια στιγμή της ζωής τους.

Και οι περιπτώσεις αυξάνονται κατά 3% κάθε χρόνο. Μπορεί βέβαια όλοι οι καταληκτικοί στόχοι μέτρησης της αποτελεσματικότητας μιας θεραπείας όσον αφορά την επιβίωση ασθενών με καρκίνο να έχουν αυξηθεί θεαματικά στις ΗΠΑ και η θνησιμότητα να έχει μειωθεί κατά 25% τις τελευταίες δύο δεκαετίες, εν τούτοις η εκατόμβη των θυμάτων από καρκίνο παραμένει πολύ υψηλή, ανάλογα πάντα με τον τύπο του καρκίνου.

Η εισαγωγή της ανοσοθεραπείας και των στοχευουσών θεραπειών τετραπλασίασε την επιβίωση στον καρκίνο του πνεύμονα, στο μελάνωμα βλέπουμε το 20% των ασθενών να ζουν πέντε και πλέον χρόνια, κάτι που μέχρι πρόσφατα αποτελούσε όνειρο θερινής νυχτός, διάφορες μορφές λευχαιμίας θεραπεύονται οριστικά, ασθενείς με στρωματικούς όγκους του γαστρεντερικού ζουν δέκα και πλέον έτη.

Από την άλλη πλευρά υπάρχουν όγκοι, όπως το μικροκυτταρικό καρκίνωμα πνεύμονα, το γλοιοβλάστωμα εγκεφάλου, διάφορα σαρκώματα, διάφοροι άλλοι σπάνιοι όγκοι στους οποίους δεν έχει γίνει σημαντική πρόοδος.

Υπάρχουν διάφορα εγγενώς βιολογικά εμπόδια στη βελτίωση των θεραπειών, που επιβαρύνονται από τις χρόνιες αδυναμίες του θεραπευτικού μας συστήματος, όπως η έλλειψη προγραμμάτων πρόληψης και παρεμβάσεων στον τρόπο που ζούμε (κάπνισμα, παχυσαρκία), στον ιδιοτελή τρόπο λειτουργίας ομάδας ιατρών και βασικών επιστημόνων, στην αδυναμία ευρύτερης εφαρμογής των νέων τεχνολογιών (λόγω υψηλού κόστους και έλλειψης υποδομών), στον περιορισμό των οικονομικών πόρων για τη βασική έρευνα και στην ιδιοτέλεια ορισμένων ερευνητών που παρεμποδίζουν τη διάχυση της πληροφορίας κ.λπ.

Ετσι, η μονοδιάστατη αντιμετώπιση του καρκινικού κυττάρου, το οποίο θεωρείται απομονωμένο από το υπόλοιπο εσωτερικό και εξωτερικό περιβάλλον, βαφτίζοντάς το ανάλογα με το γονίδιο που εμπλέκεται (π.χ. BRCA θετικό, EGFR μεταλλαγμένο, BRAF μεταλλαγμένο) και αντιμετωπίζοντάς το ως έχει, καταφέρνει μεν να βελτιώσει το προσδόκιμο ή την ποιότητα ζωής του οργανισμού, δεν οδηγεί όμως στην πλήρη εξάλειψη του καρκίνου.

Στα παραπάνω θα πρέπει να συνυπολογίσουμε και την ετερογένεια του όγκου: όλα τα κύτταρά του δεν είναι γενετικά ίδια μεταξύ τους.

Οταν κάποια από αυτά πιεστούν -από τα φάρμακα ή από τους ανοσολογικούς μηχανισμούς μας- η εξέλιξη της νόσου ευνοεί την ανάπτυξη πιο επιθετικών καρκινικών κυττάρων.

Οι όγκοι δεν αναπτύσσονται γραμμικά αλλά μέσω εξελικτικών μηχανισμών κλαδοποίησης ( branched), οι οποίοι δημιουργούν την αρμοστικότητα (fitness) των καρκινικών κυττάρων που επιβιώνουν στη θεραπευτική αγωγή και τελικά υπερισχύσουν του κλινικού γιατρού.

Φανταστείτε τον καρκίνο σαν ένα ζωντανό δέντρο με πολλά ανόμοια μεταξύ τους κλωνάρια και το γεγονός ότι οι όγκοι αλλάζουν τόσο συχνά το «γενετικό τους makeup» είναι ένας από τους βασικούς λόγους για τους οποίους ο καρκίνος είναι τόσο σκληρός αντίπαλος.

Επίσης, όπως επιβεβαιώνεται από τη μοριακή ανάλυση, ο καρκίνος μπορεί να αναπτύσσει μηχανισμούς απόκρυψης, για να ξεφεύγει από την επιτήρηση του ανοσολογικού μας συστήματος.

Και όταν δεν αναγνωρίζεις τον εχθρό σου, δεν μπορείς να τον αντιμετωπίσεις! Για να συνδέσω την ποιητική τέχνη του Οδυσσέα Ελύτη με την επιστήμη μας: «ήλθαν ντυμένοι "φίλοι" αμέτρητες φορές οι εχθροί μου το παμπάλαιο χώμα πατώντας» (Τα πάθη , ανάγνωσμα δεύτερο Οι ημιονηγοί - ΑΞΙΟΝ ΕΣΤΙ).

Μπορεί να αρχίσαμε να τον ξεμασκαρεύουμε με τη νέα αντίληψη περί ανοσοθεραπείας, όμως ακόμη δεν έχουμε ταυτοποιήσει κλινικά ή εργαστηριακά τις υπο-ομάδες ασθενών που θα ωφεληθούν τα μέγιστα από αυτές τις θεραπείες.

Και αυτό οδηγεί δυστυχώς σε σπατάλη πόρων και ζωών.

● Απ' ό,τι φαίνεται, οι κυτταρικοί παράγοντες που ευθύνονται για τις πολύμορφες εκδηλώσεις και τη μεγάλη επιθετικότητα της νόσου είναι «ζωντανοί» και εξελίσσονται διαρκώς, για να παρακάμψουν τις ιατρικές θεραπείες που επινοούμε για να τους εξαλείψουμε. Επομένως πόσο αποτελεσματικές ή κατάλληλες μπορούν να θεωρηθούν οι σύγχρονες υπερτεχνολογικές θεραπευτικές πρακτικές;

Χάρις στα επιτεύγματα της τεχνολογίας («sequencing») και της τεράστιας συλλογής πληροφοριών από δείγματα ιστού και κλινικά δεδομένα (Big Data) οι επιστήμονες συναρμολογούν σιγά σιγά τα κομμάτια του παζλ της εξέλιξης του καρκίνου, αποκαλύπτουν τις βιολογικές ρίζες της αντίστασης και σε κάποιες περιπτώσεις μαθαίνουν πώς να τις υπερπηδούν.

Ομως, παρά το διαρκώς αυξανόμενο οπλοστάσιο θεραπειών, οι σύγχρονοι ογκολόγοι συνειδητοποιούν ότι όπως ακριβώς ο καρκίνος εξελίσσεται διαρκώς, το ίδιο οφείλουμε να κάνουμε και εμείς. Είμαστε «κολλημένοι» στο «όσο μικρότερος ο όγκος τόσο καλύτερα».

Αυτό που δεν σκεφτόμαστε όμως είναι τι αφήνουμε πίσω και συχνά αφήνουμε ανθεκτικούς κλώνους, τους οποίους είναι δύσκολο να τους αντιμετωπίσεις κατόπιν.

Στοχεύοντας ωστόσο πολλαπλές μεταλλάξεις ταυτόχρονα με συνδυασμούς μοντέρνων θεραπειών, υπάρχει η πιθανότητα να εξολοθρεύσεις τον καρκίνο.

Οι ευκαιρίες για ένα καρκινικό κύτταρο να αποφύγει δύο ή τρεις συντονισμένες επιθέσεις είναι πολύ λίγες.

Αυτό εφαρμόστηκε στο μελάνωμα με συνδυασμούς είτε στοχευουσών θεραπειών σε διαφορετικούς σταθμούς της καρκινογένεσης είτε με συνδυασμούς ανοσοθεραπείας και τα αποτελέσματα ήταν σαφώς καλύτερα (Βλ. Bozic, I.et al.eLife2,e00747, 2013).

Σε μια άλλη έρευνα χρειάστηκε και πάλι να συλλεχθούν γενετικά και κλινικά δεδομένα από το Cancer Genome Atlas για πολλούς ασθενείς με καρκίνο του πνεύμονα και έτσι διαπίστωσαν ότι όσο περισσότερα αντιγόνα καρκίνου έχουμε στον κορμό του καρκίνου σε σχέση με τα αντιγόνα των κλαδιών του, τόσο καλύτερα ανταποκρίνονται στην ανοσοθεραπεία (Βλ. McGranahan,N.et al. Science 351,1463–1469, 2016)).

Οι νέες δυνατότητες τεχνολογικής διείσδυσης στο εσωτερικό των καρκινικών κυττάρων μάς φέρνουν όλο και πιο κοντά στην επινόηση αποτελεσματικότερων στρατηγικών για την εξάλειψή τους.

Το απογοητευτικό θα ήταν να εξακολουθήσουμε να παραβλέπουμε ή να αγνοούμε τι πραγματικά συμβαίνει.

● Μέχρι πριν από λίγες δεκαετίες η κατανόηση και η θεραπεία του καρκίνου είχε αφεθεί αποκλειστικά στους γιατρούς. Τα τελευταία χρόνια όμως η εγγενής πολυπλοκότητα αυτής της νόσου επέβαλε την εμπλοκή πολλών άλλων επιστημονικών κλάδων: από τη μοριακή βιολογία και τη γενετική μέχρι την υπολογιστική βιοϊατρική, τη θεραπευτική ψυχολογία και τη βιοηθική. Ποια θεωρείτε ότι είναι τα άμεσα θεραπευτικά οφέλη και ποιες οι δυσχέρειες ή τα προβλήματα από αυτή τη πολυ-επιστημονική και διεπιστημονική προσέγγιση;

Τα οφέλη είναι τόσο μεγάλα που θέλω να πιστεύω ότι τα εμπόδια και τα προβλήματα θα ξεπεραστούν τελικά από τη συντονισμένη δράση όλων των εμπλεκομένων.

Αν μάλιστα, στην πολυ-επιστημονική προσέγγιση προστεθεί και ο «εποικισμός» των θετικών επιστημών από τις ανθρωπιστικές σπουδές, τότε, στην εποχή της παγκόσμιας επικοινωνίας, δημιουργούνται οι προϋποθέσεις για μια ενδιαφέρουσα, παραγωγικότερη και αποτελεσματικότερη αντιμετώπιση του καρκίνου.

Για τις επόμενες δεκαετίες οι μείζονες τεχνολογικές εξελίξεις θα προέλθουν πιθανότατα από αυτό που συνήθως περιγράφεται ως «BNR»: Βιοτεχνολογία (B), Νανοτεχνολογία (N) και Ρομποτική (R).

Ηδη σήμερα χρησιμοποιούνται ορισμένες από αυτές τις τεχνολογίες στην αντιμετώπιση του καρκίνου, π.χ. στη σύνθεση νέων φαρμάκων, στη χειρουργική, στην αποκρυπτογράφηση του γονιδιώματος του καρκίνου.

Οσο για την πολυπόθητη σύγκλιση των φυσικών επιστημών με τις ανθρωπιστικές σπουδές, αυτή θα συμβάλει αναμφίβολα στην κατανόηση του έπους του έμβιου όντος καθώς και στην ικανότητα της Ιατρικής να αντιμετωπίζει εξατομικευμένα τις παθολογίες που εκμεταλλεύονται τους μηχανισμούς προσαρμογής και εξέλιξης του σώματός μας.

● Αρχίζουμε να κατανοούμε τους λόγους που αποφασίσατε φέτος να οργανώσετε ένα διεθνές συνέδριο με τίτλο: «Εξέλιξη & Καρκίνος: καρκίνος και ζωή μια αέναος σχέση». Πώς όμως η εξελικτική σκέψη και ειδικότερα η εξελικτική επιστήμη μπορεί να συμβάλει στην κατανόηση ή και στη θεραπεία του καρκίνου;

Το ερώτημά σας είναι καίριο. Ο τίτλος και οι θεματικές ενότητες του συνεδρίου υποδηλώνουν σαφώς και διαφωτίζουν το γεγονός ότι η ζωή και ο καρκίνος συνυπάρχουν από καταβολής του ανθρώπου.

Τα μέλη της οργανωτικής επιτροπής του 2ου Συνεδρίου αποφασίσαμε να διερευνήσουμε φέτος αυτή τη θεμελιώδη παραδοχή: τόσο η ζωή όσο και ο καρκίνος ανταγωνίζονται για την κατάκτηση της «αθανασίας» δημιουργώντας τους αντίστοιχους μηχανισμούς είτε εξέλιξης, είτε ανάπτυξης, είτε δημιουργίας.

Ομως σε αυτή την ανταγωνιστική διαδικασία δεν είναι μόνοι τους, αλλά αποτελούν μέρος της κοινωνίας και του σύμπαντος.

Αλλάζει η κοινωνία, εξελίσσεται ο τρόπος που βλέπει μια νέα κατάσταση -ανάπτυξη ψυχοογκολογίας, παρηγορητικής αγωγής, θέσπιση νέων νόμων, συμμετοχή της κοινωνίας των πολιτών.

Εξελίσσεται η βιολογική κατανόηση του ανθρώπινου και του καρκινικού γονιδιώματος, αναπτύσσονται νέα φάρμακα, νέες στρατηγικές, νέα τεχνολογία.

Και όπως οι πιο πολύπλοκες μορφές κοινωνικής οργάνωσης δημιουργούνται από υψηλά επίπεδα συνεργασίας, το ίδιο συμβαίνει και στη δυαδική σχέση ανθρώπου και καρκίνου.  

Ο στόχος είναι να κατανοήσουμε ποια χαρακτηριστικά της νόσου καθορίζονται ή εξαρτώνται από τα γονίδια.

Αρα οι πνευματικές μας αδυναμίες μπορούν να επαναπροσδιοριστούν μέσα από επιστημονικές εξηγήσεις, π.χ. η αντιμετώπιση του αδενοκαρκινώματος του πνεύμονα σε γυναίκες μη καπνίστριες με την ανακάλυψη του μονοπατιού του EGFR, η διαχείριση των ασθενών με BRCA θετικό καρκίνο.

Για να δοθούν ωστόσο πληρέστερες απαντήσεις πρέπει να διερευνηθούν με ενιαίο τρόπο τόσο η βιολογική όσο και η πολιτισμική εξέλιξη. Γι’ αυτό και στο συνέδριό μας, που τελεί υπό την ευλογία του Πατριάρχη, συμμετέχουν ομιλητές από τον χώρο της Ιατρικής, της Βιολογίας, της τέχνης, της Θεολογίας, της Νομικής, της Βιοηθικής, των ασθενών.

 


          Senior Director of Engineering – ITOM - ServiceNow - Kirkland, WA   
Ability to work with business users and clients. Experience in analytics, machine learning and/or big data - must....
From ServiceNow - Wed, 31 May 2017 05:45:01 GMT - View all Kirkland, WA jobs
          «Уже через 3 года вся наша техника будет оснащена датчиками и иметь выход в Интернет»: Bosch представила ежегодный отчет    

Группа компаний Bosch – ведущий мировой поставщик технологий и услуг. Во время ежегодной большой пресс-конференции, которая прошла несколько недель назад в Москве, топ-менеджмент компании рассказал, как Big data и IoT меняют сегодня бизнес-модель и стратегию компании.


          Big data, сотрудничество со стартапами, автоматизация и аутсорсинг типовых процессов: 4 идеи по электронной трансформации Беларуси    

В последние годы роль технологий сильно изменилась: из сервиса по поддержке бизнеса ИТ-продукты стали полноценным инструментом для его развития, поиска новых ниш, изменения бизнес-модели. Многие государства не стоят в стороне и также внедряют цифровую концепцию.


          La importancia estratégica de la Dirección de Proyectos para las empresas   
La importancia estratégica de la Dirección de Proyectos para las empresas
La Escuela de Negocios CEU San Pablo de Castilla y León viene colaborando con las actividades que realiza el PMI en Castilla y León sobre Dirección de Proyectos mediante la difusión y el punto de vista algunos de los ponentes que vienen participado en nuestros eventos. La pasada Jornada sobre Proyectos Big Data, contamos con […]
          National Architect - Predictive Enterprise - Neudesic - New York, NY   
The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and...
From Dice - Fri, 30 Jun 2017 08:20:56 GMT - View all New York, NY jobs
          National Architect - Predictive Enterprise - Neudesic - Chicago, IL   
The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and...
From Dice - Fri, 30 Jun 2017 08:21:16 GMT - View all Chicago, IL jobs
          National Architect - Predictive Enterprise (Azure SQL Architect) - Neudesic - Irvine, CA   
The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and...
From Dice - Tue, 13 Jun 2017 14:21:33 GMT - View all Irvine, CA jobs
          DB Administrator   
Amdocs, Inc. - Manila City, Metro Manila - Job ID: 52932 Who are we? If you're a smartphone user then you are part of an ever more connected and digital world. At Amdocs, we are leading the digital revolution into the future. From virtualized telecommunications networks, Big Data and Internet of Things to mobile financial services, billing and operational support systems, we are continually evolving our business to help you become more connected. We make sure that when you watch a video on YouTube, message friends on SnapChat or send your images on Instagram, you get a great service anytime, anywhere, and on any device. We are at the heart of the telecommunications industry working with giants such as AT&T, Vodafone, Telstra and Telefonica, helping them create an amazing new world for you where technology is being used in amazing new ways every single day. In one sentence The DB administrator is handling physical and applicative database administration activities supporting end 2 end life cycle of product from database ...

          Southeast Asia Data Center Market Trends and Forecasts, 2017-2021   
?Report: Data Center Market in Southeast Asia 2017-2021 is a new market research publication announced by Reportstack. Report Outline: A data center is a centralized storehouse — physical or virtual — for remote storage and processing of data and information. Data centers constitute the backbone of essential business operations. The increased use of cloud-based services and big data analytics and IoT has aided in the significant growth in the construction of data centers...
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Coordinate social media outreach. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Coordinate social media outreach. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Senior-System Engineer - BIG DATA - AT&T - Bedminster, NJ   
Knowledge in voice, video, and app technologies (circuit, VoIP, SIP, IMS, AIN, Camel, etc.). Responsible for the performance of any/all functions involved in...
From AT&T - Sat, 03 Jun 2017 05:58:47 GMT - View all Bedminster, NJ jobs
          Senior Product Manager - Service Analytics/ Big Data - Hitachi Data Systems - San Diego, CA   
Comfort in both business and technical forums. Masters degree in Business, Statistics, Computer Science or MIS a strong plus....
From Hitachi Data Systems - Thu, 20 Apr 2017 08:26:11 GMT - View all San Diego, CA jobs
          Re: Video Of The Week: Purpose, Mission, Strategy   

The unknowns on the AI side have to do with the inspectability of hedging algos:

* http://www.pewinternet.org/...

This is not a new problem ...2012 ..."At the M.I.T. conference, a panel was asked to cite examples of big failures in Big Data. No one could really think of any. Soon after, though, Roberto Rigobon could barely contain himself as he took to the stage. Mr. Rigobon, a professor at M.I.T.’s Sloan School of Management, said that the financial crisis certainly humbled the data hounds. “Hedge funds failed all over the world,” he said.

http://www.nytimes.com/2012...

2008: http://www.nytimes.com/2008...

On the Ethereum side, issues include:

* Quantum Computing
* Scalability & security
* How future forks would affect data integrity


          Big Data udvikler til Forsvarets Efterretningstjeneste – er det dig? - Forsvarets Efterretningstjeneste - Dragør   
Du er formentlig datalog, men kan også have en anden relevant teknisk uddannelse. Hjemmesiden bruger cookies til at huske dine indstillinger og godkendelse....
Fra Forsvarets Efterretningstjeneste - Wed, 28 Jun 2017 14:35:26 GMT - Vis alle Dragør job
          HRExaminer v8.26   
John Sumser has a fascinating three-part series this week covering the risks, ethics, and liability being introduced to business by artificial intelligence, machine learning, big data, and predictive analytics. Jump in to Part 1 on HR Enterprise Software Liability, then Part 2 covering Basic Ethics Questions, and finish with Part 3 on Questions for your Vendor.


“If you want to do what other people were doing last year, spend a lot of time navel gazing, and define success according to conventional standards.” Read, When Best Practices Don’t Work from Heather Bussing.


In HRIntelligencer 1.05, John Sumser shares Why robotic automation is stumbling, How Blockchains Could Transform AI, Why So Few People Major in Computer Science?, Auditing Black-Box Predictive Models, When AI Botches Your Medical Diagnosis, Will Robots Take My Job?, and how Google’s AlphaGo DeepMind works.


On episode 127 of HR Tech Weekly: New GuideSpark Product, Workday on Medium Enterprise Organizations, Facebook gives up on making the world more open, Google and Microsoft urging court to back gay workers, and European Commission hands Google record $2.72 billion fine.


John Sumser talks with China Gorman, a successful global business executive in the Human Capital Management (HCM) sector. China is a sought-after advisor and speaker bringing the CEO perspective to the challenges of building company culture. China is the author of Data Point Tuesday blog and is published in mainstream media properties like Fortune, TLNT, and Fast Company. Listen to China Gorman on HRExaminer Radio - Executive Conversations.
          Big Data Engineer - Mosaic North America - Jacksonville, FL   
The Big Data Engineer will have experience with data transport within Apache Hadoop Big Data architecture and experience with ELT specialty Data wrangling and
From Mosaic North America - Fri, 23 Jun 2017 19:01:52 GMT - View all Jacksonville, FL jobs
          Abhishek Gupta posted a discussion   
Abhishek Gupta posted a discussion

Big Data, Hadoop Eco System, Spark,Scala,ETL Trainings

Hello All,We are providing Real time Training and Projects on market hottest technologies-------------------------------------------------------------------------Big Data, Hadoop Eco System, Spark,ScalaData warehouse, ETL, DatastageUnix, Sql, Databases-------------------------------------------------------------------------This training is intended for all aspirants of Bigdata, Hadoop and Spark including enterprise architects, business analysts, Functional analysts, Developer, Testers.Interested candidate please contact on below detail.Abhishek.gupta55@gmail.com9953507179See More

          Senior Big Data Engineer   
GA-Atlanta, Senior Big Data Engineer @ Cox Automotive Corporate Services, LLC (Atlanta, GA) F/T. Dsgn, dvlp, & test complex data processes in Hadoop and Amazon Web Services (AWS). Reqts: Bach's deg (or foreign equivalent) in Comp Sci, Engg (any), or rel + 5 yrs exp in job offd, as Big Data Engg or rel. Must have 4 yrs exp in each of fllwng skills: Archtng & intgrtng Hadoop platf w/ RDBMS data warehouses; Exp
          Nuit Blanche in Review (June 2017)   

Since the last Nuit Blanche in Review (May 2017) we've had three implementations related to Deep Neural Networks, a few in-depth post ranging from training nets to compressive sensing,  a dataset, two Paris Machine Learning meetups, one meeting announcement, several videos of talks and four job announcements. Enjoy !

Implementations

In depth

Book
Dataset

Paris Machine Learning meetup

Meeting
slides

Videos

Job:






Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

          Big Data DWG   

Chair(s):

Heazel, Chuck (WiSC Enterprises)
Herring, John (Oracle USA)
Baumann, Peter (Jacobs University Bremen GmbH)


          (USA-FL-Tampa) Program Director   
Job Description General Dynamics Health Solutions/ ARMA has an opening supporting the DOD POTFF Program: The Program Director, POTFF Program, is responsible for managing 350 distributed staff and financial oversight for an 8 year, $500 M Military Resiliency and Human Performance Program to include staffing and recruiting for 21 distinct labor categories. The Director will oversee contract service delivery including human performance, psychological performance, family support, knowledge management, and service optimization. The Director is responsible for ensuring that military personnel, components, units, their support staff or family members are provided with high quality services and support; services that are critical as these individuals are sent frequently into combat and routinely risk their lives on missions of national strategic importance. The Director will work closely with the DOD POTFF Director to collaborate and continuously improve the operational readiness of the operator. Day-to-day duties include: 1. Managing business relations with the various customer sets, ensuring integration and coordination of all activities needed to execute the contract. 2. Ensure timeliness, completeness and quality of work 3. Rapidly identify and take corrective action on all program related problems 4. Attract, Recruit, Train, Develop, Retain and Manage employees 5. Ensure 100% compliance on all task orders for employee credentialing/qualifications 6. Conduct regularly scheduled program reviews with Government customers and solicit continuous feedback on performance throughout the contract period 7. Manage the contract "phase-in" and transition periods, adhering to all deadlines and milestones 8. Overall profit and loss (P&L) responsibility for the program. Manage cost, schedule, and performance baselines. 9. Meet company financial expectations set forth by senior leadership 10. Travel to contract sites, meet regularly with customers, staff, and teammates as necessary 11. Establish and maintain a cross-functional relationship with supporting and/or partnering entities both internal and external to General Dynamics 12. Oversee compliance with all contract requirements 13. Professional, diplomatic, and effective oral and written communication skills for e-mails, deliverables, reports, analysis, and communication upward and downward Education 1. Bachelor's Degree in a related business or technical discipline, or the equivalent combination of education, technical training, or work/military experience. 2. Professional certification (PMP) preferred 3. Advanced Degree (Masters / PhD) in Sports Medicine, Physical Therapy, Behavioral Health, Health Service Management, Science, Clinical Psychology, Business Administration or related field preferred 4. Previous Coursework or Executive Education in Data Analytics, Statistics, Big Data, Bioinformatics, or related area desired Qualifications 1. TS/SCI Clearance 2. Direct work experience in DOD Health Affairs or a POTFF related program 3. An in-depth understanding of DOD, its component commands, units, mission-set and operational tempo 4. Past experience leading P&L on a US Federal Government human performance, health services, health care related Program of $75 M annual revenue or higher 5. Proven leadership effectiveness managing a large workforce of 200+ employees 6. Previous experience leading a geographically dispersed workforce 7. Minimum 5 years' experience managing projects or tasks 8. Previous military experience in DOD, preferably at a Combatant Command or a Component level 9. Previous leadership experience within DOD preferred 10. In depth understanding of military medical and human performance / program effectiveness desired 11. Recent experience in primary POTFF lines of effort (LoE): Human Performance (HP), Behavioral Health, Spiritual Enhancement, Personnel Operational Tempo (PERSTEMPO) management and Family Programs desired 12. First-hand experience or physical and mental ability to ride on watercraft, aircraft, and other vehicles utilized by military personnel to accomplish their missions. \#POTFF GDIT is an Equal Opportunity/Affirmative Action Employer - Minorities/Females/Protected Veterans/Individuals with Disabilities
          OpenStack Essentials Linux Academy   
OpenStack Essentials  Linux Academy
Big Data Essentials | Linux Academy
Size: 704.23 MB Type: eLearning




          Web-Scale Converged Infrastructure Designed to Simplify IT   
Download this resource to key into the specs of one hyper-converged infrastructure, and discover why its implementation is ideal for supporting multiple, virtual workloads such as VDI, private cloud, database, OLTP and data warehouse as well as virtualized big data deployments. Published by: Dell EMC and Nutanix
          (Senior) Software Engineer for zeotap - zeotap - Bangalore, Karnataka   
Experience in designing and deploying big data solutions across multiple DCs spread across the globe. Zeotap is a premium data collective that makes large-scale...
From zeotap - Tue, 16 May 2017 06:39:29 GMT - View all Bangalore, Karnataka jobs
          Big Data Architect - Ruby - Toronto, ON   
We’re one of Profit 500’s fastest growing Canadian companies and our online communities have been featured on some of the world’s top media properties including...
From Ruby - Fri, 30 Jun 2017 17:01:02 GMT - View all Toronto, ON jobs
          Data Engineer - CreditCards.com - Austin, TX   
Experience working within an agile environment. Bankrate Credit Cards is seeking an experienced big data engineer....
From CreditCards.com - Fri, 12 May 2017 22:18:08 GMT - View all Austin, TX jobs
          Big Data Solution Engineer   

          Analista/Progrmador@ (Back-End) - Between Technology - Barcelona   
En Between seleccionamos y apostamos por el mejor talento dentro del sector tecnológico. Nos involucramos en una gran variedad de proyectos punteros, trabajando con las últimas tecnologías. Actualmente en Between contamos con un equipo de más de 350 personas. En el área de Desarrollo, abarcamos proyectos web y mobile, trabajamos en ámbitos como BI, IoT, Big Data e I+D. En el área de Operaciones implantamos proyectos de Service Desk, Infraestructuras IT y proyectos Cloud, entre otros. ...
          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          Senior Advertiser Analyst - Cardlytics - Atlanta, GA   
The big picture 1,500 banks. 120 million customers. 20 billion transactions per year. If you’re looking for big data, you found it. Cardlytics helps...
From Cardlytics - Tue, 20 Jun 2017 16:33:21 GMT - View all Atlanta, GA jobs
          Big Data Architect - Ruby - Toronto, ON   
We’re one of Profit 500’s fastest growing Canadian companies and our online communities have been featured on some of the world’s top media properties including...
From Ruby - Fri, 30 Jun 2017 17:01:02 GMT - View all Toronto, ON jobs
          Get Ready for Artificial Intelligence   

Company leaders need to be aware of the technology called Artificial Intelligence (AI) and how it will affect accounting departments in the future. The discussion is not on science fiction robotic sentience of good vs. evil but instead of AI as a technological tool to support decisions based on big data analytics and cognitive thinking. […]

The post Get Ready for Artificial Intelligence appeared first on Accountex Report.


          Consultant Business Technology Innovation   
Capgemini: Utrecht --- Heb jij een passie voor het oplossen van vraagstukken op het raakvlak van business en IT? Kun jij onze klanten inspireren met uitdagende en vernieuwende inzichten rond onderwerpen als cloud, mobile, social media, cyber secuity, big data, virtualis ...
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Coordinate social media outreach. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Senior Product Manager - Service Analytics/ Big Data - Hitachi Data Systems - San Diego, CA   
Comfort in both business and technical forums. Masters degree in Business, Statistics, Computer Science or MIS a strong plus....
From Hitachi Data Systems - Thu, 20 Apr 2017 08:26:11 GMT - View all San Diego, CA jobs
          Java Developer 1384   
About TrainologicTrainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), Architectural Design, and DevOps (TDD, CI, CD, Docker, Ansible).Gene...
          דרושים פרילנסרים ל Front-End Developer 1387   
About TrainologicTrainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), architectural design, and DevOps (TDD, CI, CD, Docker, Ansible).Join...
          דרושים פרילנסרים ל DevOps Trainer 1464   
About TrainologicTrainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (DevOps, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, DevOpsScript, AngularJS, React, Node.js), Architectural Design, and DevOps (TDD, CI, CD, Docker, Ansible)....
          דרושים פרילנסרים ל Java Trainer 1422   
About TrainologicTrainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), Architectural Design, and DevOps (TDD, CI, CD, Docker, Ansible).Gene...
          Devops and CI Consultant 0474   
About Trainologic:Trainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), Architectural Design, and DevOps (TDD, CI, CD, Docker, Ansible)Gene...
          דרושים פרילנסרים לSenior Full stack Developer 1406   
About Trainologic:Trainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), Architectural Design, and DevOps (TDD, CI, CD, Docker, Ansible)Loca...
          דרושים פרילנסרים לJava Team leader 1434   
About TrainologicTrainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), Architectural Design, and DevOps (TDD, CI, CD, Docker, Ansible).Gene...
          Senior-System Engineer - BIG DATA - AT&T - Bedminster, NJ   
Knowledge in voice, video, and app technologies (circuit, VoIP, SIP, IMS, AIN, Camel, etc.). Responsible for the performance of any/all functions involved in...
From AT&T - Sat, 03 Jun 2017 05:58:47 GMT - View all Bedminster, NJ jobs
          Big Data Developer - Hadoop   

          Cloud Full Stack Engineer - Infox Consulting - Bellevue, PE   
Familiarity with big data engines (Hadoop/MongoDB/etc). Design and implement the following:. As a Cloud Full Stack Engineer you will have the opportunity to...
From INFOX Consulting - Fri, 23 Jun 2017 10:56:36 GMT - View all Bellevue, PE jobs
          Analyste-programmeur BI - CGI - Lac-Saint-Jean, QC   
Connaissances en Big Data (gestion des données et/ou outils) un atout; L'analyste-programmeur BI assure la définition et l'évolution des fonctionnalités des...
From CGI - Wed, 26 Apr 2017 19:53:56 GMT - View all Lac-Saint-Jean, QC jobs
          Senior Technical Pre-Sales Consultant - Dell - Toronto, ON   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Mon, 15 May 2017 18:02:28 GMT - View all Toronto, ON jobs
          Senior Pre-Sales Technical Consultant - Dell - Montréal, QC   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Fri, 16 Jun 2017 20:39:48 GMT - View all Montréal, QC jobs
          software-defined servers   

A marketing term coined by HP for its ultra-low power Project Moonshot servers developed for specific data center workloads such as cloud computing and big data.


          Senior Product Manager - Service Analytics/ Big Data - Hitachi Data Systems - San Diego, CA   
Comfort in both business and technical forums. Masters degree in Business, Statistics, Computer Science or MIS a strong plus....
From Hitachi Data Systems - Thu, 20 Apr 2017 08:26:11 GMT - View all San Diego, CA jobs
          Hiring for On-line Trainers - Big Data - Data Science - R - Scala - Spark in Hyderabad / Secunderaba (Job in Kolkata)   
Job Description:Required on-line trainers on following Tracks: - Big Data - Hadoop - Data Science - R, Scala, Spark - Data Visualization - Python Please send email to ISBACourses@gmail.com tags: 16 To apply for this job Click here [URL]http://spanjobs.c...
          Software Engineers   
IL-Rolling Meadows, Siritek Inc has openings for Software Engineers. Job Description: Gather, analyze, design, write code, document, customize, maintain, test, and modify software and computer applications using any combination of the following technologies such as Java, J2EE, Hibernate, Struts, ASP.Net, Share Point, VBScript, SAP, Oracle Apps, Salesforce, DataStage, Guidewire, Pega, FileNet, Documentum, Big Data, Ha
          Senior-Inventive Scientist (Labs- Big Data Research) - AT&T - Bedminster, NJ   
Our rich customer and network data allows analysts to positively affect business outcomes and to pursue methodological research (comparing machine learning...
From AT&T - Sun, 25 Jun 2017 06:36:56 GMT - View all Bedminster, NJ jobs
          Senior-Inventive Scientist (Labs- Big Data Research) - AT&T - New York, NY   
Our rich customer and network data allows analysts to positively affect business outcomes and to pursue methodological research (comparing machine learning...
From AT&T - Sun, 25 Jun 2017 06:36:55 GMT - View all New York, NY jobs
          Principal Business Intelligence Analyst - Business Intelligence,   
TX-Dallas, Title and Experience: Senior Business Intelligence / SQL Implementation Consultant with heavy SQL, ETL and BI background. Big Data Experience strongly preferred. Location: This person needs to be based out of Dallas(or surrounding areas) and is willing to be at the client site for a certain period of time. You will also be expected to visit the San Mateo office on a quarterly basis. Salary: 80-120
          Big Data Junior Developer - FastConnect - Purchase, NY   
Experience in Hadoop (Cloudera, HortonWorks and/or MapR) – Architecture, Deployment and Development. Whatever your degree/discipline, our Graduate Program will...
From FastConnect - Mon, 24 Apr 2017 18:13:03 GMT - View all Purchase, NY jobs
          Python, Sql Developer (Full time & permanent position) - Nityo Infotech - Jersey City, NJ   
GUI - struts, spring, javascript, Big Data -Hadoop, mapR). Python, SQL Developer*.... $130,000 a year
From Indeed - Mon, 12 Jun 2017 22:02:17 GMT - View all Jersey City, NJ jobs
          Product Manager - XDuce - Texas   
Experience working on popular Hadoop distribution platforms like Cloudera, HortonWorks, and / or MapR. Big Data Admin....
From XDuce - Tue, 02 May 2017 03:35:17 GMT - View all Texas jobs
          Data Architect, Big Data - BCD Travel Corporate - United States   
MapR experience preferred. The solutions will need to consider the full enterprise data hub platform including, but not limited to MapR, Data Virtualization and...
From BCD Travel - Wed, 28 Jun 2017 02:38:07 GMT - View all United States jobs
          Big Data Architect - Financial Services - IBM - United States   
4 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights). Is data your jam?...
From IBM - Fri, 16 Jun 2017 06:00:51 GMT - View all United States jobs
          Principal Consultant - Neudesic LLC - United States   
Microsoft, Tableau, AWS and Hadoop (Hortonworks, Claudera, MapR, etc.), certifications a plus. Our Business Intelligence and Big Data capability is comprised of...
From Neudesic LLC - Fri, 09 Jun 2017 21:24:50 GMT - View all United States jobs
          Manager - Incedo - United States   
Big Data Management and Predictive Analytics Practice, Statistical Modeling and Predictive Analytics, Hadoop, Cloudera, Horton Works, MapR....
From Incedo - Wed, 24 May 2017 20:30:55 GMT - View all United States jobs
          Integration Engineer for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Sat, 27 May 2017 07:15:00 GMT - View all Piscataway, NJ jobs
          E2E Solution Architect for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Fri, 26 May 2017 07:13:44 GMT - View all Piscataway, NJ jobs
          SQL Programmer/Modeler - Prometheus Real Estate Group, Inc. - San Mateo, CA   
Good Understanding of Big data concepts and Hadoop distributions like Cloudera or MapR to implement and make use of them (a plus)....
From Prometheus Real Estate Group, Inc. - Wed, 17 May 2017 23:20:11 GMT - View all San Mateo, CA jobs
          Big Data Project Manager   

          Big Data Project Manager   

          Senior Software Engineer - Data Distribution   
CA-San Jose, If you are a Senior Software Engineer experienced with Big Data Parallel Distribution, Systems, Network and Storage programming please read on. Located in San Jose, CA we are an innovative start-up that is changing the game in digital storage distribution. - "We can load 1 Petabyte in 1 Hour" - Our technology utilizes incredibly high bandwidth to move large volumes of parallel data in order to red
          New: The Ultimate Data Infrastructure Architect Bundle   

New: The Ultimate Data Infrastructure Architect Bundle

New: The Ultimate Data Infrastructure Architect Bundle View full article on Epic Bundle »

A Development Bundle!

From MongoDB to Apache Flume, this comprehensive this all new e-Learning bundle will have you managing data like a pro in no time. Businesses today have access to more data than ever before, and a key challenge is ensuring that data can be easily accessed and used efficiently. These ebooks will help you take your skills to the next level.

[DEAL]Get the complete bundle here![/DEAL] (94% off!)

What's included?

  • Learning ElasticSearch 5.0: Store, Search & Analyze Your Data with Ease Using ElasticSearch 5.0
  • Apache Spark 2 for Beginners: Take the First Steps In Developing Large-Scale Distributed Data Processing Applications
  • Designing AWS Environments: Design & Create Robust & Resilient Distributed Solutions with AWS
  • Learning MongoDB: A Comprehensive Guide to Using MongoDB for Fast, Fault Tolerant Management of Big Data
  • Learning Hadoop 2: Introduce Yourself to Storing, Structuring, & Analyzing Data at Scale with Hadoop
  • ElasticSearch 5.x Cookbook eBook: Over 170 Advanced Recipes to Search, Analyze, Deploy, Manage, & Monitor Data Effectively
  • Fast Data Processing with Spark 2 eBook: Learn How to Use Spark to Process Big Data At Speed & Scale
  • MongoDB Cookbook: Second Edition eBook: Harness the Latest Features of MongoDB 3 with A Collection of 80 Recipes
  • Learning Apache Kafka: Second Edition eBook: Learn How to Administer Apache Kafka Effectively for Messaging
  • Apache Flume: Distributed Log Collection for Hadoop: Second Edition eBook: Design & Implement A Series of Flume Agents to Send Streamed Data Into Hadoop
Read full article: http://www.epicbundle.com/bundle/the-ultimate-data-infrastructure-architect-bundle

More Epic Bundle


          Marketing 4.0   

24,50€

Manuel (broché). Paru en 06/2017

Marketing 4.0


Philip Kotler, Hermawan Kartajaya, Iwan Setiawan, Marc Vandercammen

Depuis la parution de Marketing 3.0, l’ouvrage de référence qui a conduit de nombreux professionnels à s’engager sur le chemin du marketing axé sur l’humain, les spécialistes du marketing ont développé de nouvelles technologies pour mieux comprendre les décisions des consommateurs. Le Big Data – l’analyse des gros volumes de données – permet aujourd’hui de créer des produits et des services plus personnalisés. Marketing 4.0 explore cette approche et présente les innovations en matière de parcours client, de sa prise de conscience à la recommandation d’une marque. Dans cet ouvrage très attendu par les professionnels, Philip Kotler, le père du marketing moderne, s’associe à Hermawan Kartajaya, Iwan Setiawan et Marc Vandercammen pour proposer et analyser les techniques qui permettent d’orienter le consommateur tout au long de sa démarche d’achat. Ainsi, le parcours client traditionnel (conscience – appréciation – achat – rachat) se transforme-t-il en intégrant l’action des pairs, de la famille et des amis à travers les réseaux sociaux (conscience – séduction – questionnement – action – recommandation). Marketing 4.0 décrit ces innovations, leur impact sur les décisions d’achat, et présente les méthodes pour atteindre les consommateurs, les indicateurs pour mesurer leur performance et les pratiques pour offrir au consommateur une expérience personnalisée. Outil de référence quotidien, l’ouvrage propose de nombreux exemples et des conseils pratiques pour passer d’une stratégie marketing traditionnelle vers une stratégie digitale.



          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Solidsoft Reply needs your talent...   

Originally posted on: http://blog.crip.ch/archive/2015/10/05/167336.aspx

Solidsoft Reply is in recruiting mode.  We are the UK’s leading integration specialists on the Microsoft Platform with a decade and a half experience of hard-core development using BizTalk Server and related technologies.  These days, of course, we focus much of our attention on cloud-based integration technologies.  However, we have seen a surge of interest in BizTalk Server over the last couple of years.  Much of this has been driven by the ever-growing adoption of Dynamics (AX, CRM) within the enterprise.  In the face of concerted competition from some of the new iPaaS kids-on-the-block, BizTalk Server continues to attract new customers at a very healthy rate.   Not only are we involved in more concurrent BizTalk projects than at any time in our history, the average size and value of those projects has increased noticeably.

We are a conservative lot when it comes to hiring.  We have always placed a high value on experience and capability.  Our reputation depends on it.  Our team of approximately twenty full-time BizTalk specialists has been growing in recent months, but we need to extend that team further to cope with current and projected demand.  We are looking to employee another two or three people with proven BizTalk Server development and consulting skills, experience of enterprise-level development and the aptitude to work closely with corporate customers.  These people will join the team as full-time employees, working with other members of our team and alongside our wider community of associates.  Most of the BizTalk development we do is team-based and involves EAI and the design and implementation of enterprise service bus capabilities.  We need people with experience and understanding of the full development life-cycle.  If you are looking to take your career beyond development into technical consultancy and leadership, we offer the opportunity to expand your horizons.

As well as BizTalk Server, we have a wider involvement in development on the Azure platform.  We have one team working on one of the largest Azure development projects undertaken in Europe.  We are working closely with Microsoft on early real-world Service Fabric-based development.  We are building our capabilities in BI, BCDR and Azure-based managed services.  Most of our integrations customers have a direct interest in cloud computing and plan to exploit cloud-based approaches alongside more traditional enterprise integration models.  If you want to extend your knowledge and experience of cloud-enabled integration using Azure services such as the service bus and App Service, then consider a career with us.

Solidsoft Reply is part of the greater Reply family, a network of highly specialised companies that  help their customers develop business models to optimise and integrate processes, applications and devices and use new technology and communication paradigms such as Big Data, Cloud Computing, Digital Communication, Internet of Things and Mobile and Social Networking.  Reply operates across Europe and several other regions.  Solidsoft Reply is based in the UK (Basingstoke) and Italy.

If you think you could find a home at Solidsoft Reply, let me know via this blog site or contact us directly at solidsoft@reply.eu with your current CV.
          Database Administrator / Architect - Morgan Stanley - New York, NY   
Datawarehouse and Big data lake architect , supporting an enterprise datawarehouse platform designed and developed to store , process, curate and distribute the...
From Morgan Stanley - Wed, 22 Mar 2017 15:13:32 GMT - View all New York, NY jobs
          Quality Tools Engineer - Kudelski SA - Mountain View, CA   
Experience on datawarehouse and Big Data architectures (Spark, Hadoop, Cassandra…). The Quality and Tools Engineer will join the Engineering Operations...
From Kudelski SA - Thu, 29 Jun 2017 00:25:24 GMT - View all Mountain View, CA jobs
          Big Data Application Developer - SQL, Perl, AngularJS   

          Senior Java Engineer - Enterprise Big Data Platform   
IL-Chicago, Due to heavily investing in rebuilding its data platforms, this extremely flexible and nimble 200-person Big Data analytics software company focused on the consumer insights space is looking for an outstanding Big Data Software Engineer with back-end pipeline experience and Java development expertise to create and deliver complex data analysis solutions. This position will encourage experimentatio
          Sr. Software Engineer - Scala/REST/Back End   
About This Role
As a Senior Software Engineer, you will be responsible for the design, development, testing, and deployment of products that help companies communicate with their customers in deep and personal ways. We service over 20,000 API requests per second and our SDK is installed on over 1 billion devices around the world. We are a small team <15 engineers and our technology stack is built with Ruby on Rails, Scala, and Python, running on Cassandra, MongoDB, ElasticSearch, and Kafka.

What you will do

* Write performant, maintainable code that is easy to read and well-documented
* Write automated tests to thoroughly validate the correctness of your code
* Design, plan and deploy large-scale web applications
* Collaborate closely with other developers and members of the team
* Participate in 24/7 on-call rotation for monitoring of system status and resolution of critical issues & outages
* Deploy code via Docker/Kubernetes on Amazon Web Services (AWS)
* Participate in lean/agile development process that focuses on customer value delivery, low latency engineering practices, and individual developer ownership


What you should have

* 5+ years software development experience, preferably for a B2B SaaS product and/or in a successful startup environment
* Solid experience with REST and API design
* Expert level familiarity with Ruby, Python, or Scala
* Experience with a broad range of tools, frameworks, and libraries, preferably including one or more of Big Data and Data Analytics, Machine Learning, Service-Oriented Architectures, NoSQL (Cassandra, MongoDB), ElasticSearch, Kafka, and Distributed Computing
* BA/BS degree in computer science or related field
* The curiosity and desire to stay current on these and related rapidly evolving topics
* Passion about the possibilities of mobile, the magic of great customer experiences, and having fun while working hard
          Enterprise Architect   
We are seeking an Enterprise Architect for a full time permanent position with our client in Parsippany, NJ.

The Enterprise Architect (EA) is responsible for taking the company's business strategy and defining IT systems architecture to support that strategy. The Enterprise Architect links the business mission, strategy, and processes of an organization to its IT strategy, and documents this using multiple architectural models or views that show how the current and future needs of an organization will be met in an efficient, sustainable, agile, and adaptable manner.

Additional responsibilities include, but are not limited to:

* Directing the overall strategy and architecture related to enterprise systems and technologies. Leads enterprise wide design, research, testing and evaluation of new technologies that improve and enhance Enterprise Systems reliability, availability and serviceability.
* The architect will collaborate with internal and external partners to ensure that technology decisions align with the overall Enterprise Architecture Framework/Roadmap.
* Assessment of new technologies; implementation of POCs; capacity planning; performance tuning.
* Maintaining an organization-wide view of current and future business and application architecture in support of company goals and objectives.
* Identifies business requirements that affect the enterprise architecture and provide solutions that integrate into the overall architectural vision and strategy.
* Provides leadership and expertise in the development of standards, architectural governance, design patterns and IT best practices.

Requirements:

* Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field or relevant experience, coupled with 15+ years of IT and business/industry work experience including substantial senior level technical experience in Enterprise Architecture, as well as 10+ years of professional experience working in an architecture role with at least 7+ years working as an Enterprise Architect.
* Must have extensive working experience with Microsoft technologies.
* Candidates with experience moving environment to virtualized environment (cloud), Microsoft Azure strongly preferred.
* Excellent knowledge of database solutions, application services, messaging backbone, application integration and architecture patterns.
* Advanced knowledge of industry best practices in the various aspects of IT, technology trends, enterprise operations knowledge and the ability to develop solutions to implement key business strategies.
* Advanced knowledge of hardware, software, application, and systems engineering
* Expert knowledge and execution of IT Standards, Policies and Procedures
* Advanced knowledge of emerging technologies (big data, drones, ai) and Information Security Awareness
* Intermediate knowledge of General Project Management Methodology & Tools

About Harvey Nash

* Global recruitment and talent solutions company
* Placing thousands of skilled business professionals every year
* Operations in the United States, Europe and Asia
* Publicly traded
* Over 40 office locations worldwide
* Dedicated to providing talented professionals with top career opportunities

Qualified candidates should submit a word formatted resume to cheryl.blumenberg@harveynashusa.com.
          Full Stack Developer - C++   

Job Description:

Do you want to contribute to making the world a safer place? We are disrupting the way law enforcement uses technology to increase public safety through our wearable Axon video cameras and EVIDENCE.com platform. We bring SaaS and secure evidence management to law enforcement from hardware to mobile to desktop to cloud. We need dedicated, intelligent problem-solvers to join our team in Seattle.

Required Qualifications:

* 4-7 years of professional experience

Any combination of the following:

* Full stack web developer
* Backend large scale website
* Service and big data
* Mobile/tablet
* Desktop applications
* Embedded software
* Test and deployment automation
* Datacenter operations
* Machine learning, analytics, prediction
* Solutions & systems integration

We prefer candidates with demonstrated success in their current career, tons of passion around technology and delighting customers along with great social and communication skills. You should also have a hunger to learn new things and take on new challenges. We'd like you to have experience in ONE of these: C++, C#, Android, iOS, embedded C, AWS, NoSql, Sql, QT, html5/css.


          SDE (Routing)   

Our client is seeking a strong developer to advance the core routing capabilities of our premier traffic and driver services platform. We are looking for a technical leader which can leverage our industry leading traffic flow, incident data, and analytics to generate best-in-class current and predictive driving directions to help customers find the optimal way in getting to their destination. What we provide is a dynamic work environment, building time-saving, frustration-relieving services in the growing field of big data and algorithms. Our client is developing the next generation systems for people mobility. Join our client's team and be a part of the future.

This role on the Routing Team is a technical leadership role as the primary person who will be designing, defining, and implementing routing algorithms for multiple situations. Applicants should have strong analytical and algorithmic abilities, with a nose for performance and scalability. As part of small team, you’ll have influence with other teams in how data is constructed and provided, and how routing will enhance future products. Our client provides apps and services to the automotive industry, the private and public sector, and direct to consumers through mobile applications, providing several outlets for innovation.

Required skills and experiences:

* Routing - Familiarity and working knowledge with routing networks, preferably in spatial routing, and strong skills in graph, computational geometry, and/or network theory. A*, Dijkstra, and Floyd-Warshall should be part of your vocabulary
* Work Experience - At least 5 years or more experience in a production environment, coding in a language like C#, C++, or Java
* Scalability - Familiarity with using performance and profiling tools, experience in building scalable services
* Intellect - Excellent problem solving skills at both the micro and macro levels
* Collaboration - A good team player, with a focus on delivering and supporting the overall product.

Desired skills and experiences include:

* Experience in developing navigation software
* GIS knowledge and/or experience with transportation data from vendors such as NAVTEQ, Tele Atlas, and OSM
* Experience working in a high transactional volume environment
* Excellent communication skills and/or mentoring other team members


          Lead TPM (Shipping Team)   

Want to be constantly challenged by highly technical and real-world problems? Interested in working with cutting edge technologies, massively distributed environments and Big Data? Does working on cloud computing, distributed systems and data mining problems sound interesting to you? Want to make an impact on one of the biggest social community of buyers and sellers and do it while working for an ecommerce industry giant?
If so then look no further for we have some real exciting openings at eBay Bellevue that present such an opportunity. We are looking for self-motivated and super talented individuals to join us to work on new products that will evolve and grow the eBay Core Shipping and Delivery Experience.

This is a highly technical senior software engineer role requiring analytical, innovative thinkers to work on a global, distributed component architecture serving millions of users per day for one of the largest eCommerce platforms in the world. We work in nimble, tightly integrated teams to build the products, platforms, services and tools that our customers depend on every day. If you are a self-starter with a passion for technology, eCommerce and are used to writing high-quality code then eBay is the right place for you.
The team is on a mission to revamp how we do Shipping at eBay. Given the vast amount of data at our disposal and the massive number of transactions going through the site daily we are perfectly positioned to optimize for a good buying and selling experience.

Here is just a quick glimpse at some of the programs we have in store:

* Provide up-to-the-minute delivery estimates for buyers and sellers using data mining and machine learning techniques
* Add more end-to-end order fulfillment and shipment solutions for buyers and sellers globally
* Focus on reducing cross-border trading obstacles for Asia Pacific region, standardize tracking and labels and reduce operational delays while getting the cheapest rates available

* Design and implement projects throughout all phases of the software development life cycle
* Work with engineers and other cross functional teams including Research, Project Management, Quality Assurance, Operations etc. to develop great software that meets market needs with respect to functionality, reliability, performance, scalability
* Track business impact of features on a regular basis, and rely on data to make informed decisions about future directions
* The usual engineer activities - scoping, prioritizing, planning, bug fixing, site rollout, documentation, having fun
* To succeed in this role you must be passionate about being a customer advocate and delivering high-quality designs and components that horizontally scale. You must be creative in solving hard problems in our high scale systems and unafraid to think out-of-the-box.

* Bachelor’s degree in Computer Science or related field like Mathematics
* Outstanding coding skills in Java, C++ or C# (will be primarily coding in Java)
* Great design and problem solving skills, passion for quality and engineering excellence at scale
* Experience in distributed systems, database technologies, online services is strongly preferred
* Strong written and verbal communication skills
* Ability to work in a fast paced, iterative development environment
* Demonstrated passion for learning from and implementing creative large-scale architectural patterns to turn business requirements into simple solutions
* Have a genuine love for technology, and a curiosity for playing with the latest tools and frameworks
* Demonstrated ability to own and deliver projects of increasing technical complexity
* Focus on writing high quality code and demonstrated use of test automation to certify your code


          Red Hat Solutions Architect - MOBIA Technology Innovations - Canada   
Telecom Infrastructure, Converged Infrastructure, Cloud, Security and Big Data. Red Hat Solutions Architect....
From MOBIA Technology Innovations - Mon, 26 Jun 2017 13:15:01 GMT - View all Canada jobs
          Senior Performance Test Engineer - Performance Testing, New Reli   
CA-San Mateo, Based in San Mateo in a brand new office space, we are a bunch of big data junkies, developing a state-of-the-art big data integration platform that is changing the way enterprises of all sizes interact with data. Having recently closed a huge round of funding, we are yet again, on the hunt for top talent. It is no surprise that in a short period of time, we are developing the go-to tool of choice
          Principal Business Intelligence Analyst - Business Intelligence,   
TX-Dallas, Title and Experience: Senior Business Intelligence / SQL Implementation Consultant with heavy SQL, ETL and BI background. Big Data Experience strongly preferred. Location: This person needs to be based out of Dallas(or surrounding areas) and is willing to be at the client site for a certain period of time. You will also be expected to visit the San Mateo office on a quarterly basis. Salary: 80-120
          Los votantes de Trump son, en su mayoría, usuarios de Windows   
¿Existe algún tipo de correlación entre el sistema operativo que usas y tu ideología política? Podrías pensar inicialmente que no, pero el big data no perdona: un estudio llevado a cabo por Axios ha levantado...
          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          Big Data Junior Developer - FastConnect - Purchase, NY   
Experience in Hadoop (Cloudera, HortonWorks and/or MapR) – Architecture, Deployment and Development. Whatever your degree/discipline, our Graduate Program will...
From FastConnect - Mon, 24 Apr 2017 18:13:03 GMT - View all Purchase, NY jobs
          Python, Sql Developer (Full time & permanent position) - Nityo Infotech - Jersey City, NJ   
GUI - struts, spring, javascript, Big Data -Hadoop, mapR). Python, SQL Developer*.... $130,000 a year
From Indeed - Mon, 12 Jun 2017 22:02:17 GMT - View all Jersey City, NJ jobs
          Product Manager - XDuce - Texas   
Experience working on popular Hadoop distribution platforms like Cloudera, HortonWorks, and / or MapR. Big Data Admin....
From XDuce - Tue, 02 May 2017 03:35:17 GMT - View all Texas jobs
          Data Architect, Big Data - BCD Travel Corporate - United States   
MapR experience preferred. The solutions will need to consider the full enterprise data hub platform including, but not limited to MapR, Data Virtualization and...
From BCD Travel - Wed, 28 Jun 2017 02:38:07 GMT - View all United States jobs
          Big Data Architect - Financial Services - IBM - United States   
4 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights). Is data your jam?...
From IBM - Fri, 16 Jun 2017 06:00:51 GMT - View all United States jobs
          Principal Consultant - Neudesic LLC - United States   
Microsoft, Tableau, AWS and Hadoop (Hortonworks, Claudera, MapR, etc.), certifications a plus. Our Business Intelligence and Big Data capability is comprised of...
From Neudesic LLC - Fri, 09 Jun 2017 21:24:50 GMT - View all United States jobs
          Manager - Incedo - United States   
Big Data Management and Predictive Analytics Practice, Statistical Modeling and Predictive Analytics, Hadoop, Cloudera, Horton Works, MapR....
From Incedo - Wed, 24 May 2017 20:30:55 GMT - View all United States jobs
          Integration Engineer for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Sat, 27 May 2017 07:15:00 GMT - View all Piscataway, NJ jobs
          E2E Solution Architect for Ericsson Expert Analytics - Ericsson - Piscataway, NJ   
This is an exciting opportunity to join a Centre of Excellence team working on Big Data, Business Intelligence and Customer Experience Management projects.
From Ericsson - Fri, 26 May 2017 07:13:44 GMT - View all Piscataway, NJ jobs
          SQL Programmer/Modeler - Prometheus Real Estate Group, Inc. - San Mateo, CA   
Good Understanding of Big data concepts and Hadoop distributions like Cloudera or MapR to implement and make use of them (a plus)....
From Prometheus Real Estate Group, Inc. - Wed, 17 May 2017 23:20:11 GMT - View all San Mateo, CA jobs
          Data Scientist - Data Insights & Analytics - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 17 Jun 2017 08:59:04 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - Growth - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:08 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - RA - CSI - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:08 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Engineer - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:07 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Engineer - Growth - 99 TAXIS - São Paulo, SP   
Have been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:06 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - Mkt Place Routing - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:05 GMT - Visualizar todas as empregos: São Paulo, SP
          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          Data Scientist   
San Francisco, Data Scientist Company: Ancestry DNA Location: San Francisco, CA Position Type: Full Time Experience: 1 year Education: Master's Degree Data Scientist: Dvlp comp. methods/models to analyze genomic data from genomic samples. Anlze big data from high-throughput sequencing tech platforms. Dvlp & validate machine learning. Req: MSCS & 1 yr. exp. w/ sequencing data, predictive modeling, visualization,
          Senior Performance Test Engineer - Performance Testing, New Reli   
CA-San Mateo, Based in San Mateo in a brand new office space, we are a bunch of big data junkies, developing a state-of-the-art big data integration platform that is changing the way enterprises of all sizes interact with data. Having recently closed a huge round of funding, we are yet again, on the hunt for top talent. It is no surprise that in a short period of time, we are developing the go-to tool of choice
          Lead UI Developer - Top Security Startup!   
CA-Redwood City, Located in Redwood City, CA, we are a fast growing startup backed by top-tier venture capital firms, and led by an experienced management team and visionary entrepreneurs. Our big data security analytics helps companies defend themselves against the continual growth of sophisticated cyber criminals. We are building a breakthrough platform that can ingest, model and analyze massive flows of machine
          Arquitecto Big Data - BBVA - Bogotá, Cundinamarca   
Gente que se esfuerza y cumple, siempre de forma responsable. En BBVA trabajamos por un futuro mejor para las personas, Entendemos la responsabilidad...
De Fedesoft - Wed, 14 Jun 2017 02:37:00 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Product Manager - Consumer Insights   
New York, If you're a Product Manager with Data Analytics experience, please read on! Based in NYC, we are a well-funded, enterprise SaaS Agency focused on the Emerging Media and Consumer Marketing industries! Our premier software suite and associated services leverage the latest in predictive analytics and big data technologies to effectively improve customer performance tremendously! We now have an urgent
          Technical Product Manager - Analytics   
New York, Based in NYC, we are a well-funded, eCommerce Start-up focused on the Emerging Media and Consumer Marketing industries! Our premier software suite and associated services leverage the latest in predictive analytics and big data technologies to effectively improve customer performance tremendously! We now have an urgent need for a Product Manager with a technical background in business analytics or
          Шесть мифов о Big Data   
Нaтaлья Гaрaxaнoвa, дирeктoр пo мaркeтингу в aгeнтствe Black Engine и aспирaнт курсa «Упрaвлeниe прoдуктoм», рaзвeнчивaeт мифы в области Big Data специально для блога Нетологии. Big Data в последнее время стала трендом. Но что это такое понятно не всем. Многие думают, что большие данные — это либо просто огромный массив данных, либо простой и дешевый способ их хранения. Большие данные вовсе не предмет, а совокупность подходов, инструментов и методов обработки структурированных и неструктурированных […]
          12 Things That All Industrial Product Designers Should Know   
Industrial product designers are required to know and understand mathematical intricacy and practical physics, and should also have a good grounding in human physiology and psychology. They must take various industry trends into consideration when designing, such as relevance of big data, aesthetic and unbreakable design concepts, business needs, engineering and product function, and product [&hellip
          Commentaires sur Big Data Paris 2014 – enjeux sociaux et réduction des inégalités par Elian Carsenat   
Le support de la présentation est ICI http://fr.slideshare.net/nomtrinamsor/bigdata-paris-2014-enjeux-sociaux
          Data Engineer   
Rockville, If you are a Data Engineer with experience, please read on! Location: Rockville, MD (near the Rockville Town Square) About us: We are a privately held company with a small team of about 25 employees that has built a Next Generation Big Data Analytics Database that helps companies improve profit by predicting and evaluating certain performance metrics. Since 2012, we have been on the rise and have
          Software Engineer - Pentaho   
Rockville, If you are a Software Engineer with either Pentaho or Informatica experience, please read on! Location: Rockville, MD (near the Rockville Town Square) About us: We are a privately held company with a small team of about 25 employees that has built a Next Generation Big Data Analytics Database that helps companies improve profit by predicting and evaluating certain performance metrics. Since 2012,
          דרושים פרילנסרים ל Scala Developer 0883   
About TrainologicTrainologic provides end-to-end development, consulting and training solutions for today’s top software technologies. Trainologic knowledge experts bring to the market years of experience in enterprise application development (Java, Spring, Scala, NoSQL), big data (MongoDB, Hadoop, Spark, Lucene, Solr, Elastic search), web development and front-end technologies (HTML5, JavaScript, AngularJS, React, Node.js), architectural design, and DevOps (TDD, CI, CD, Docker, Ansible).Join...
          Big Data Engineer - Distributed Systems, Product   
Mountain View, If you are a Big Data Engineer with experience, please read on! With an office in Mountain View, we are the creators of a hyper-acceleration technology for popular big data processing engines using both hardware and software accelerators! Currently, we're looking for a Big Data Engineer with distributed systems experience to join our tight-knit team in Mountain View! The ideal candidate will have
          Senior Systems Administrator   
Brentwood, If you are a Senior Systems Administrator with experience, please read on! Based in beautiful Nashville, TN, we are a highly innovative Cloud/Big Data storage solutions company that specializes in customized storage, backup and server virtualization and consolidation solutions for Fortune 1000 companies. Due to growth and demand for our services, we are in need of hiring for a Senior Systems Admin
          Джак Ма с важно предупреждение   

Джак Ма, създател на азиатския технологичен гигант Alibaba, често наричан от западните медии „китайският Amazon“ е човек, който има какво да каже и е интересно да бъде чут. В интервю за CNBC, Ма говори повече за своята компания, за изкуствения интелект, Big Data и бъдещето на света. Особено неприятно звучи едно от предвижданията му, че […]

Източник Джак Ма с важно предупреждение


          All the World’s a Stage – even if our (social media) Audiences are often Invisible   
Came across this blog post - Klout, Big Data and Opting Out  by Fred McClimans via @gautamghosh and liked this quote, among other things: “There’s nothing in the dark that isn’t there when the lights are on.” Rod Serling.  I tweeted it, and @rajeshlalwani responds: Rajesh’s quote immediately made me think of Shakespeare and his [...]
          Data Scientist - Data Scientist, Hadoop, Python   
Lexington Park, If you are a Data Scientist with experience, please read on! Top Reasons to Work with Us 1. An awesome opportunity to work with Big Data & be part of high profile aviation projects for government & defense 2. We are privately held company, we continue to grow our Data Engineering team well into 2017 What You Will Be Doing Our Engineering team is developing multiple products for the marketplace. Th
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          Linux DevOps Engineer//Chef, Puppet, Ruby or Python   
Spring, We are a Spring software company ramping up up our engineering team as we continue to expand. We are looking for a DevOps Engineer with solid Linux administration, scripting, and database experience to help us take our products to the next level. If you are a DevOps Engineer with strong Linux experience, please read on! Top Reasons to Work with Us 1. Work with the latest in Big Data and Cloud tech
          Linux Architect// Python Development   
Spring, We are a Spring software company ramping up up our engineering team as we continue to expand. We are looking for a Linux Architect with solid Linux administration, scripting (Python) , and database experience to help us take our products to the next level. If you are a Linux Architect with strong Python experience, please read on! Top Reasons to Work with Us 1. Work with the latest in Big Data and
          Senior Performance Test Engineer - Performance Testing, New Reli   
San Mateo, Based in San Mateo in a brand new office space, we are a bunch of big data junkies, developing a state-of-the-art big data integration platform that is changing the way enterprises of all sizes interact with data. Having recently closed a huge round of funding, we are yet again, on the hunt for top talent. It is no surprise that in a short period of time, we are developing the go-to tool of choice
          Software Engineer, with passion for Big Data, Pre-IPO HFT Co!!   
New York, Disruptive. Game Changer. Truly innovative. These are just some of the ways we've been described in multiple media outlets & in the financial world. We are a leader in high-performance, ultra low-latency financial technology and we are changing the way that investors and traders compete and do business. We are effectively creating an equal playing field for all investors, traders and firms of any
          Software Engineer (Sr. or Architect, Hands-on Coding)   
Falls Church, If you are a Software Engineer (Sr. or Architect, Hands-on Coding) with experience, please read on! REQUIRED: ACTIVE TS/SCI Clearance We offer software Engineering services to the Department of Defense and Intelligence Community. We are a premium provider of technology solutions in the areas of Cloud Computing, Big Data Analytics, Service-Oriented Architecture (SOA), Distributed Computing, and Web
          Werkstudent (m/w) im Bereich Business Intelligence & Big Data - Würth Elektronik - Berlin   
more than you expectwww.we-online.de/karriere Willkommen an Bord Die Würth Elektronik Gruppe mit über 8.000 Mitarbeitern in 50 Ländern fertigt und vertreibt...
Gefunden bei Würth-Gruppe - Fri, 21 Apr 2017 06:22:24 GMT - Zeige alle Berlin Jobs
          Sr. Dir. - ADP Ventures- HCM Big Data - ADP - Roseland, NJ   
Position DescriptionThe Senior Director of ADP Ventures -- Big Data HCM is responsible for product and business development for a bundled set of products that leverage ADP's Human Capital Management (HCM) data from the Big Data Ventures division. The umbrella brand, Benchmark
          Senior Global Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Fri, 30 Jun 2017 01:41:43 GMT - View all Phoenix, AZ jobs
          Supervisor Inbound Sales and Care - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Thu, 29 Jun 2017 21:40:58 GMT - View all Phoenix, AZ jobs
          Senior Enterprise Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Thu, 29 Jun 2017 17:39:51 GMT - View all Phoenix, AZ jobs
          Global Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Tue, 09 May 2017 21:59:19 GMT - View all Phoenix, AZ jobs
          Channel Relationship Manager - CenturyLink - Phoenix, AZ   
Visit CenturyLink for more information. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud,...
From CenturyLink - Mon, 05 Jun 2017 19:50:29 GMT - View all Phoenix, AZ jobs
          (USA-WA-Seattle) Software Development Manager   
Amazon Business Payments team is responsible for developing the platform and applications used to introduce new and innovative payment methods to customers as well as support Amazon’s global co-brand and private label credit cards along with the world’s largest rewards catalog, Shop with Points. The technology we build and operate varies widely, ranging from large scale Distributed Engineering incorporating the latest from Machine Learning in the Big Data space to customer and mobile friendly User Experiences. We are an Agile team, moving quickly in collaboration with our business to bring new features to Amazon Business customers while having fun and bring new inventions along the way. If you can think big and want to join a fast moving team breaking new ground at Amazon we would like to speak with you. As a part of this role you will: -Build and manage a team of Software Engineers. -Foster career growth and a strong team culture. -Recruit, hire, mentor, and coach technical staff. -Interface with our product team to understand requirements, set priorities and communicate direction and progress. -Manage Agile development process and methodology to deliver incremental value to customers. -Help develop long-term business technology strategies for Amazon Business Payments + Bachelor's degree or higher in a technical field, such as computer science or engineering + 10+ years experience planning, designing, developing and delivering software. + 5+ years experience as a People Manager in a software development organization. + Experience leading highly-skilled software engineering teams + Experience forming teams and recruiting software engineers + Experience developing careers of highly-skilled software engineers + Good understanding of various platforms and technologies (Java, AWS, Python, Ruby) + Excellent written and verbal communication skills + Has taken software products from inception to customer delivery + Practical experience with software engineering best practices + Experience with Agile software development methodologies + Proven track record building high-performing software development teams + Passionate about delivering the right things for your customers at very high quality + Experience in Payments domain AMZR Req ID: 554799 External Company URL: www.amazon.com
          (USA-WA-Seattle) *Application Manager for Oracle EBS   
Finance Technology is looking for a results-oriented, self driven Application Manager to lead a highly talented team of Functional Analysts, Application Engineers and Technical Program Managers. Our ideal candidate thrives in a fast-paced environment, relishes working with big data, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. Above all, the successful candidate will be a passionate builder of talent and teams. As a Manager within Finance Technology you will help set the vision for a new suite of technology that will enable thousands of global Amazonians continue to be Earth's Most Customer Centric Company. In this role you will be responsible for leading a technology team to create world-class finance systems that support Amazon's global footprint. You must be willing to insist on the highest standards for quality, scalability, maintainability and performance. The systems we own are responsible for trillions of financial events and payment flows that would rank among the largest countries in the world by GDP. You will ensure that engineering best practices are followed to design and build application to be scalable with the highest standards. You will own the day to day operations of the your team by helping them on technology guidance to unblock the path forward and ensure the projects are delivered as per schedule. As a technology leader, you will drive architectural and design choices and invent new features. We have a team culture that encourages innovation and we expect developers and management alike to take a high level of ownership for the product vision, technical architecture and project delivery. Successful candidates will the leaders who can cut through the noise, simplify relentlessly, deliver results, and build great teams around themselves. Key Responsibilities: Responsible for the overall team building Develop the long-term strategy for your programs and translate that into an achievable action plan Management and execution against project plans and delivery commitments Manage the day-to-day activities of the engineering team Build and manage a team of engineers. Recruit, hire, mentor, and coach technical staff Work closely with the engineers to architect and develop the best technical design and approach Report on status of development, quality, operations, and system performance to the leadership BS or MS in computer science/computer engineering or equivalent 6+ years of industry experience as a Functional analyst/Functional Consultant on Oracle E-Business Suite 2+ years of industry experience as a Application manager with Oracle E-Business Suite Experience of working in implementations, rollouts and support Preferred Qualifications Thorough hands-on technology expertise Excellent verbal and written communication skills Strong business and technical understanding Ability to handle multiple competing priorities in a fast-paced environment A deep understanding of Oracle E-Business Suite architecture Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions Thorough hands-on technology expertise Excellent verbal and written communication skills Strong business and technical understanding Ability to handle multiple competing priorities in a fast-paced environment A deep understanding of Oracle E-Business Suite architecture Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation AMZR Req ID: 554699 External Company URL: www.amazon.com
          (USA-WA-Seattle) Software Development Engineer   
Emerging Products team is working on new and innovative systems that span across mobile applications to distributed systems that scale to tens of thousands of requests per second. We also develop systems that analyze Big Data, build machine learning algorithms and drive personalization effort for Associates based on these models. We are looking for a SDE that can work across multiple projects and systems, someone who can impact multiple parts of our team. The SDE will be a key part of the team that build new applications and services that are Amazon scale and meet the strict standards of quality, performance and usability. You will get a chance to work across the spectrum of technologies including building mobile apps (on iOs and Android), develop cool new Web UIs and data rendering frameworks, work on Big Data and Machine Learning, build massively scalable distributed services. Apart from building new systems and applicants you will get to work on mentoring junior SDEs and grow as a technical leader. This position is to work on the new social media influencer program being developed by the emerging products team. You will get to work on the cutting edge social media technologies and get an opportunity to build massively scalable distributed systems to support the programs we are building. You will also get to influence and work with other teams in the organization. As a SDE you will play key role in developing and architecting around these complex systems. The SDE will have an opportunity to work on one of the highest volume webservices in Amazon. Challenges include - High Availability guarantees - Extremely low latencies - High throughput - Leverage S3, DynamoDB, Elastic Map Reduce, Amazon Kinesis, Elastic Search, and Elastic Machine Learning to build new services. - Build mobile application based n Android and iOS - Work on Big Data and Machine Learning Models - Build cool new Web UIs and data rendering frameworks. · 4+ years’ experience building successful production software systems · A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field) · The ability to take raw product requirements and develop software architectures and designs to bring them to life · Experience defining system architectures and exploring technical feasibility tradeoffs · Experience developing web services and an understanding of design for scalability, performance and reliability · Mastery of the tools of the trade, including a variety of modern programming languages (Java, C/C++, Perl/Ruby) and technologies (Hadoop, Spring, AWS services such as DynamoDB, S3, SWF) · Excellence in technical communication with peers. . Masters/PhD degree • Proven result oriented person with a delivery focus. • Experience developing mobile applications . Experience with Spatial Databases • Excellent verbal and written communication skills • Development Expertise in data structures, complex algorithms, OOP, Java/C++, Linux, Perl/Ruby. • Experience in development of distributed/scalable systems and high-volume transaction applications • Ability to handle multiple competing priorities in a fast-paced environment. • Exposure to elastic map reduce and machine learning programs. AMZR Req ID: 554496 External Company URL: www.amazon.com
          (USA-WA-Seattle) Software Dev Engineer - Test   
Do you have a passion for designing comprehensive test plans and leading testing efforts for business-critical features? Do you enjoy designing and implementing creative test automation solutions for complex systems? Do you always try to find ways to improve and optimize the development process to achieve faster releases with fewer bugs? If this sounds interesting, then you would be a great fit as a Software Development Engineer in Test on the AWS QuickSight team. In Amazon Web Services (AWS), our mission is to provide customers with best in class data services in the cloud to store, query and analyze the enormous data sets that their businesses generate. We launched Amazon QuickSight, a new Business Intelligence service to help our business users and developers to interact with Big Data. We are aiming to build a comprehensive service to help our customers to capture, store, and analyze the data. AWS QuickSight team is looking to hire talented Software Development Engineer (Test) to ensure quality of Amazon QuickSight user experience on PC and Mobile devices (iOS, Android, and FireOS) and platform services. As a Software Development Engineer in Test II on this team, you will be leading test automation and infrastructure development, test new design and architectural choices which have a significant impact on our systems, our business and most importantly, our customers. You will be working directly with developers, QA Engineers and product Managers to ensure quality development and quality of our applications and platforms. We are working with exciting new technologies and solving complex automation problems across platforms. If you are creative, customer focused, have a passion for QA and test automation and enjoy working in a fast paced environment, this team is right for you. You are highly collaborative, with a proven track record for working closely with teams to influence outcomes and propose well-informed new directions. You think big, and earn trust through regular and precise communication. You have strong analytical skills and a relentless determination to do what is right for customers. You can work with minimal direction and are capable of working quickly while delivering high-quality outputs. You are good at multi-tasking, juggling competing priorities, and organizing yourself. BASIC QUALIFICATIONS - Bachelor’s degree in Computer Science, Computer Engineering or similar technical field - 4+ years of experience as a Software Development Engineer in Test (SDET) - Strong server side Java experience - Experienced in web and mobile (iOS and Android) test automation - Demonstrated experience in test framework design and development - Excellent communication, collaboration, reporting, analytical and problem solving skills - Proficient with Agile testing methodologies and best practices PREFERRED QUALIFICATIONS - Strong knowledge of QA methodology and tools, with demonstrated experience in an SDET role - Strong, object-oriented design and coding skills - Coding experience with automated testing frameworks, tools, services, and physical devices - Ability to effectively articulate technical challenges and solutions - Deal well with ambiguous/undefined problems; ability to think abstractly - Experienced in Agile or Scrum software development methodologies - Experience with database systems and BI tools AMZR Req ID: 553949 External Company URL: www.amazon.com
          (USA-WA-Seattle) Software Development Engineer   
Amazon Web Services (AWS) is the largest public cloud provider and also the fastest growing. QuickSight is a fast business analytics service to build visualizations, perform ad-hoc analysis, and quickly get business insights from data. The service was launched last year and picking up velocity. The service is geared to build disruptive technology in the big data analysis and visualization space. The Team: We're an agile, passionate independent team working to building the service to scale and provide highly performant solution to analyze and visualize data. We need developers who are capable of breaking down and solving complex problems. Developers at Amazon work on real world problems on a global scale, own their systems end to end, and influence the direction of our technology that impacts hundreds of millions customers around the world. Join a team of super smart, passionate developers who think big and have fun. + BS degree or higher in Computer Science, Engineering, Math or related field + 5+ years professional experience in commercial/large scale system software development and delivery + Proven problem solving skills and programming (in Ruby, Java, Python and/or C++), preferably on Linux + Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations + Experience building complex software systems that are successfully delivered to customers + Deep hands-on technical expertise in: large scale systems engineering; building and operating complex distributed systems + Obsession with quality and customer experience + Master’s/PhD in Computer Science, Math or related field + Good understanding of Software Development Life Cycle (SDLC) and project planning/execution skills including estimating and scheduling. + Experience building large scale web applications + Familiarity with WebGL, SVG, Canvas API is a plus. + Experience with Machine Learning, data mining, and/or statistical analysis tools such as R is a plus AMZR Req ID: 553948 External Company URL: www.amazon.com
          (USA-WA-Seattle) Finance Manager - Consumer Marketing Analytics   
Amazon Consumer Marketing Finance seeks a Sr Financial Analyst to support the Consumer Marketing Analytics (CMA) team, which is responsible for generating customer understanding and insights, Customer Targeting applications, and Marketing Attribution. Products that CMA develop are built from the ground up, cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics and other fields like Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally. This role will influence the metrics that make customer messaging more personal. The Sr. Financial Analyst would partner with the CMA business/tech teams. S/he has a passion for learning about complex econometric models and communicating to a non-technical audience in a crisp manner. The successful candidate will have strong analytic and communication skills, and have a passion for using data to drive business decisions. We are looking for a self-starter that attacks complex business problems with curiosity and dives deep to identify root causes. This individual thrives by providing data-driven decision support and business intelligence that is timely, accurate, and actionable. + Bachelor’s degree in finance, accounting, business, economics, or related field + 5+ years of relevant Finance experience + Master’s degree in finance, accounting, business, economics, or related field + Advanced knowledge of Excel + Strong analytical, financial modeling and reporting skills + Persuasive oral/written communication skills + Knowledge of SQL is desirable + Must be comfortable working in cross-functional teams + Ability to demonstrate strong leadership + Excellent communication and persuasion skills Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation AMZR Req ID: 553865 External Company URL: www.amazon.com
          (USA-WA) Mobile Solutions Architect   
**General Description** Samsung R&D; Lab in Bellevue, WA is looking for talented Wireless Modem Architect Engineer for driving and creating our next generation wireless software and services across devices. Established in 2011 as a Samsung oversea R&D; center, the lab owns advanced technology collaboration with wireless carriers in the broad communication, computing, and entertainment domains covering technologies such as mobile wireless, big data, AR/VR, and AI. The lab is also responsible for Samsung solution and innovation ideation and development, carrier technical requirement analysis, architecture design and feature implementation of software services. We need experienced system staff engineer who is passionate about telecom technology evolution and cellular wireless technologies, as well as creating cutting edge innovations for Samsung’s next generation products and services. A System Staff Engineer will lead the lab’s advanced technology trials and collaborations with US wireless carriers in the area of wireless communication and modem/protocol engineering. The role will be the go-to person for telecom network technology evolution, carrier requirement analysis and solution design with solid hands-on experience and expertise on such technologies as LTE bands, Carrier Aggregation, MIMO, LTE-U, 5G, Enhanced Voice Services, and so on. The role is expected to be able to understand emerging cellular wireless technologies, very familiar with modem software architecture on chipset level, protocol layer engineering, network and device performance, and is able to create and assess architectural design and implementation options, as well as debugging and resolving device issues across PHY, MAC, RRC & RLC layers. The role is expected to provide technical guidance to junior engineers. * As a technical architect, keep up to date with the industry’s wireless technology trend with deep technical insight and hands-on practice, lead Samsung innovation ideation and proof-of-concept for upcoming wireless technologies. * As a protocol SME, collaborate closely with wireless carriers on emerging new communication technologies, technology trials and commercialization execution. * Provide architectural technical guidance to team members to perform deep carrier requirement analysis and software design. Provide implementation and test planning guidance throughout the entire carrier trials and commercialization by leveraging deep expertise in modem software, Android RIL and wireless standards * Evaluate internal engineering process and identify improvement for better software quality and shorter time to market. **Necessary Skills / Attributes** * Industry candidates are required to have at least 8 years of work experience on modem software development. * Minimally Bachelor degree in Electronic Engineering or Computer Science is required. Industry candidate with 6-10 years of experience can also be considered. * Strong cellular systems knowledge in LTE/CA/VoLTE/IMS Core, UMTS & GSM, 3GPP. * Strong technical expertise and experience in wireless Layer 1/2 protocol design, simulation and optimization for wireless standards; strong technical expertise in wireless WLAN and 4G/5G technologies (including spatial channel model, OFDM, MIMO, interference control, random channel access and selection, CSMA-CA) * Evaluate new technologies (LTE-U, LTE Advanced, 5G, WiFi, MIMO, CA, EVS etc.) and their applicability to Samsung devices * Deep understanding of higher layer protocols, such as MAC, RLC, PDCP, IP and TCP and so on. * Strong debugging experience of LTE/CA/VoLTE/IMS Core, UMTS, HSPA and GSM communications systems * Understanding of Physical/MAC layers and Call Processing concepts in one or more of the following air interface standards LTE/LTE-A * Solid understanding and mapping carrier requirements against 3GPP/ETSI, GSMA & RFC standards * Strong sense of project ownership required. Self-motivated and comfortable to learn and solve complicated problems in new technical areas under pressure. * Proficient in Real-time embedded C programming and/or C programming **Company Information** SAMSUNG ELECTRONICS AMERICA BIG THINGS HAPPEN HERE. The amazing products for which Samsung is known world-wide are the results of the amazing people who work here. Their talent, creativity, dedication, and commitment to innovation are what make us who we are. To continue to be a world leader in technology, we focus on attracting the best talent available and offer a corporate culture in which every individual can challenge themselves to discover how good they are, and how great they can become. Headquartered in Ridgefield Park, NJ, and with offices in Richardson, TX and Palo Alto, CA, Samsung Electronics America, Inc. (SEA) is a wholly-owned subsidiary of Samsung Electronics Co. Ltd. and a world leader in technology. We market a broad range of award-winning consumer electronics, smartphones, information systems, and home appliances. Samsung's philosophy is based on our strong determination for growth, perpetual innovation and responsibility to corporate citizenship. As a result of our commitment to innovation and unique design, the Samsung organization is one of the most decorated brands in the electronics industry. Our company is currently ranked #7 in Interbrand’s "100 Best Global Brands," and named #3 on the Boston Consulting Group list as one of the world's most innovative companies in 2014. At Samsung we work hard – every day. It is a fast-paced and challenging work environment, and we are a nimble team that constantly pushes ourselves to be the best. If you have energy, passion, dedication and drive, and you thrive in a fast-paced workplace, the rewards at Samsung are many. Imagine working for a global company that is a world leader in innovation, in an environment where exciting things happen every day. Imagine working with an amazing group of visionaries/ individuals who make products that bring joy to millions of people across the globe every single day. Imagine where you want to be, and who you want to be. At Samsung...the possibilities are limitless. Apply today and find out why LinkedIn ranked us as one of North America’s Most InDemand Employers in 2014. To this end, we follow various protocols during the recruitment process, including but not limited to, avoiding the inadvertent disclosure of confidential information of the applicant’s former employer. Samsung Electronics America provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, status as a protected veteran, genetic information, status as a qualified individual with a disability or any other characteristic protected by law. *Category:* System Engineering *Full-Time/Part-Time:* Regular Full-Time *Location:* , Bellevue Washington, Bellevue Washington, Bellevue Washington
          (USA-WA) Staff Engineer – Samsung Mobile R&D Lab   
**General Description** Samsung R&D; Lab in Bellevue, WA is looking for talented Mobile Software Engineers for supporting Samsung’s mobile product commercialization and advanced service development with US carriers. Established in June 2011 as a local lab of Samsung R&D;, the lab owns advanced technology collaboration with wireless carriers in the broad communication, computing, and entertainment domains covering technologies such as mobile wireless communication, big data, AR/VR, and AI. The lab is also responsible for carrier technical requirement analysis, architecture design and feature implementation of software services on device and in the cloud. We need software development engineers who are passionate about mobile technologies, software and services in the mobile and cloud space, as well as creating cutting edge innovations for Samsung’s next generation products and services, in the cloud and on devices. A Staff Software Engineer with the lab will play a technical lead role in many aspects of device engineering: requirement analysis, architecture design, implementation and commercialization of specific features on Android and Tizen devices, as well as debugging and resolving device issues across OS layers. The role is expected to provide technical guidance to junior engineers on software architecture, design patterns, engineering best practice, as well as task prioritization and professional communication internally and externally. Job Duties * As a Staff Engineer with full stack development experience, identify and propose innovations and new services, perform deep requirement analysis and software architecture design. Develop both server side and client side architecture and functional specifications by utilizing best design patterns and coding standards. Provide guidance to the team in designing, developing and test planning throughout the entire engineering process with emphasis on design for usability, performance, scalability, testability and code coverage. * Mentor and manage junior engineers on complex issue analysis, architecture, design and development. * Perform root cause analysis of technical issues by leveraging deep expertise in broad mobile embedded system areas such as Android application performance, Android Framework, mobile OS internals, Linux kernel, system battery performance, system stability, and so on. * Evaluate internal engineering process and identify improvement for better software quality and shorter time to market. **Necessary Skills / Attributes** * Industry candidates are required to have at least 6 years of post-bachelor experience on mobile embedded systems (Android preferred) and/or server/services development. * Design, develop, unit test and deploy Android based solutions using common standards and frameworks. * Solid knowledge of Android SDK, understands the fundamentals of what makes good app design and can show examples of this. * Understanding of core Java &/ C++ and OOD. * Excellent knowledge of fundamentals of computer science – operating systems, data structures, algorithms, and TCP/IP networking concept–is mandatory. * Excellent written and verbal communication skills. * BS/MS/Ph.D. degree in Computer Science or related technical field or equivalent practical experience. Preferred Qualifications * Candidates with demonstrable expertise in Android internals or with development experience with phone OEMs will be given preference. * Strong sense of project ownership required. Self-motivated and comfortable to learn and solve complicated problems in new technical areas under pressure. **Company Information** SAMSUNG ELECTRONICS AMERICA BIG THINGS HAPPEN HERE. The amazing products for which Samsung is known world-wide are the results of the amazing people who work here. Their talent, creativity, dedication, and commitment to innovation are what make us who we are. To continue to be a world leader in technology, we focus on attracting the best talent available and offer a corporate culture in which every individual can challenge themselves to discover how good they are, and how great they can become. Headquartered in Ridgefield Park, NJ, and with offices in Richardson, TX and Palo Alto, CA, Samsung Electronics America, Inc. (SEA) is a wholly-owned subsidiary of Samsung Electronics Co. Ltd. and a world leader in technology. We market a broad range of award-winning consumer electronics, smartphones, information systems, and home appliances. Samsung's philosophy is based on our strong determination for growth, perpetual innovation and responsibility to corporate citizenship. As a result of our commitment to innovation and unique design, the Samsung organization is one of the most decorated brands in the electronics industry. Our company is currently ranked #7 in Interbrand’s "100 Best Global Brands," and named #3 on the Boston Consulting Group list as one of the world's most innovative companies in 2014. At Samsung we work hard – every day. It is a fast-paced and challenging work environment, and we are a nimble team that constantly pushes ourselves to be the best. If you have energy, passion, dedication and drive, and you thrive in a fast-paced workplace, the rewards at Samsung are many. Imagine working for a global company that is a world leader in innovation, in an environment where exciting things happen every day. Imagine working with an amazing group of visionaries/ individuals who make products that bring joy to millions of people across the globe every single day. Imagine where you want to be, and who you want to be. At Samsung...the possibilities are limitless. Apply today and find out why LinkedIn ranked us as one of North America’s Most InDemand Employers in 2014. To this end, we follow various protocols during the recruitment process, including but not limited to, avoiding the inadvertent disclosure of confidential information of the applicant’s former employer. Samsung Electronics America provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, status as a protected veteran, genetic information, status as a qualified individual with a disability or any other characteristic protected by law. *Category:* S/W Engineering *Full-Time/Part-Time:* Regular Full-Time *Location:* , Bellevue Washington, Bellevue Washington, Bellevue Washington, Bellevue Washington
          (USA-WA-Seattle) Oracle Cloud - Information Delivery, Manager   
Deloitte is one of the leading professional services organizations in the United States, specializing in audit, tax, consulting and financial advisory services with clients in more than 20 industries. We provide powerful business solutions to some of the world s most well-known and respected companies, including more than 75 percent of the Fortune 100.At Deloitte, you can have a rewarding career on every level. In addition to challenging and meaningful work, you ll have the chance to give back to your community, make a positive impact on the environment, participate in a range of diversity and inclusion initiatives, and find the support, coaching, and training it takes to advance your career. Our commitment to individual choice lets you customize aspects of your career path, your educational opportunities and your benefits. And our culture of innovation means your ideas on how to improve our business and your clients will be heard.Work you'll doA Manager at Deloitte will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies. Key responsibilities will include:Engagement Management:Lead engagement planning and budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solutions from top management levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement riskClient Management:Manage day to day interactions with executive clients and sponsorsBusiness Development:Develop and maintain contact with top decision makers at key clients; organize and lead pursuit teams; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategiesPractice Development & Eminence:Develop practical solutions and methodologies; develop "thoughtware" and "point-of-view" documents; participate in public speaking events; get published in industry periodicalsPeople Development:Perform role of counselor and coach; provide input and guidance into the staffing process; actively participate in staff recruitment and retention activities; provide leadership and support for delivery teams and staff in local offices The TeamAnalytics and Information ManagementAt Deloitte Consulting LLP, our Analytics and InformationManagement team is responsible for transforming numbers and statistics into actionable information for our clients. We help them predict, plan, and adapt their business strategies to meet real-time challenges and confidently help navigate past whatever obstacles come their way. We take a holistic approach to data and offer a broad range of integration and analytics capabilities, including: Information Delivery, Data Management and Architecture, Digital Finance Technology and Advanced Analytics Enablement.Learn more about our Analytics and Information Management practice.. QualificationsRequired:6 years of relevant technology architecture consulting or industry experience in Consulting and the Oracle products.Experience with Oracle Data Integration ideally around on-prem and cloud based data integration strategies, Big Data, Cloud and Business Intelligence products & applications. Experience managing cloud projects.Proficient in one or more Oracle products: Oracle Analytics Cloud (OAC), Oracle Business Intelligence Technologies and applications (BICS, OTBI, Oracle R, Oracle BI Appliances, Oracle Data Integrator (ODI) or Oracle GoldenGate).Experience with traditional Data Warehousing implementations and OBIEE, OBIA is a plus however must have experience with above referenced technologies and strategies for implementation and design.Provide support on data quality components during the implementation of the solution architecture.Provide technical recommendations for optimized data access and retention for the data warehouse.Provide oversight support to the design, development and QA teams.Define areas of improvement to optimize data flows.Identify strategy for data acquisition and archival.Bachelor s Degree or equivalent professional experience.Willingness for weekly client-based travel, up to 80-100% (Monday Thursday/Friday) Qualified candidates are also required to have at least one full lifecycle project experience in one or more of the following areas:Development of statements of work and/or client proposals.Identify business opportunities to increase usability and profitability of information architecture.Experience with program leadership, governance and change enablement.Develop and manage vendor relationships.Lead workshops for client education.Manage resources and budget on client projects.Ability to scope out the effort and cost for an enterprise reporting solution.Ability to define how an enterprise information system will align with the organization s business and strategic objectives.Ability to manage multiple teams on a data warehousing engagement. Preferred:Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.Eagerness to mentor junior staff.An advanced degree in the area of specialization is preferred. How you ll growAt Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. BenefitsAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.Learn more about what working at Deloitte can mean for you. Deloitte s cultureOur positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenshipDeloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte s impact on the world. Recruiter tipsWe want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you re applying to.Check out recruiting tips from Deloitte professionals. About Deloitte As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Disclaimer: If you are not reviewing this job posting on our Careers site (careers.deloitte.com) or one of our approved job boards we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at careers.deloitte.com. Category: Management Consulting
          Hiring for Machine Learning Manager / Scientist - Python, Java, C++, R, Python in Bengaluru/Bangalor (Job in Kolkata)   
Job Description:Exp. in managing technical teams. Hands-on experience in predictive modeling and big data analysis. Exp. in using R or Python. Strong problem solving ability. Computer Science Machine Learning, or in a highly quantitative field. tags: 5 ...
          Sr Data Engineer - General Electric - Michigan   
The candidate should have a diverse background in ITIL methodologies and big data technology stack including Greenplum (GPDB), Hadoop, Spark, Presto, Oozie,...
From GE Careers - Sat, 03 Jun 2017 10:24:45 GMT - View all Michigan jobs
          Data Scientist - Under Armour - California   
Ideally, has experience with big data technologies like Spark, Hive, Presto, etc. As an established leader in performance and innovation, Under Armour Connected...
From Under Armour - Wed, 19 Apr 2017 16:15:18 GMT - View all California jobs
          Big Data Engineer II - Amazon Corporate LLC - Palo Alto, CA   
Hadoop, Hive, Oozie, Presto, Hue, Spark, Zeppelin and more! EMR supports well-known big data platforms like Hadoop and Spark, and multiple applications that are...
From Amazon.com - Fri, 23 Jun 2017 20:09:40 GMT - View all Palo Alto, CA jobs
          Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR) - Amazon Corporate LLC - Palo Alto, CA   
You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Hadoop...
From Amazon.com - Sat, 17 Jun 2017 08:32:08 GMT - View all Palo Alto, CA jobs
          Manager, Software Development Big Data - Amazon Corporate LLC - Palo Alto, CA   
Amazon EMR is a web service which enables customers to run massive clusters with distributed big data frameworks like Apache Hadoop, Hive, Tez, Flink, Spark,...
From Amazon.com - Thu, 01 Jun 2017 01:01:54 GMT - View all Palo Alto, CA jobs
          Senior Big Data Engineer - A2Z Development Center, Inc. - Palo Alto, CA   
Hadoop, Hive, Oozie, Pig, Presto, Hue, Spark, Tachyon, Zeppelin. EMR supports well-known big data platforms like Hadoop and Spark, and multiple applications...
From Amazon.com - Wed, 31 May 2017 19:01:22 GMT - View all Palo Alto, CA jobs
          Senior Data Scientist - HealthTap - Palo Alto, CA   
You have real-world experience working with massive amount of data using big data tools such as HIve, Pig, Impala, Spark Streaming/SQL, Presto, etc....
From HealthTap - Thu, 20 Apr 2017 05:50:47 GMT - View all Palo Alto, CA jobs
          BI Operations Engineer - Facebook - Menlo Park, CA   
3+ years experience working with Big Data analytics platforms (such as Hadoop, Hive, HBase, Map/Reduce, Presto, Sqoop)....
From Facebook - Tue, 02 May 2017 20:04:55 GMT - View all Menlo Park, CA jobs
          Big Data Architect - Ruby - Toronto, ON   
We’re one of Profit 500’s fastest growing Canadian companies and our online communities have been featured on some of the world’s top media properties including...
From Ruby - Fri, 30 Jun 2017 17:01:02 GMT - View all Toronto, ON jobs
          'Big data analytics to become $16 billion industry by 2025'   
India is currently among top 10 big data analytics markets in the world and Nasscom has set a target of making the country one among the top three.
          Senior Director of Engineering – ITOM - ServiceNow - Kirkland, WA   
Ability to work with business users and clients. Experience in analytics, machine learning and/or big data - must....
From ServiceNow - Wed, 31 May 2017 05:45:01 GMT - View all Kirkland, WA jobs
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          Senior Data Architect - Stem Inc - San Francisco Bay Area, CA   
Help design, develop and implement a resilient and performant distributed data processing platform using open source Big Data Technologies....
From Stem Inc - Tue, 27 Jun 2017 05:52:01 GMT - View all San Francisco Bay Area, CA jobs
          Senior Cloud Engineer/Big Data Architect / Data Science - Corporate Technology - New York, NY   
Perform data analysis with business, understanding business process and structuring both relational and distributed data sets....
From Corporate Technology - Wed, 14 Jun 2017 16:40:06 GMT - View all New York, NY jobs
          11 Strategic Issues Facing CIOs in 2015   
When we talk about digital transformation here at Perficient, we are often talking about big data, cloud, mobile and social.   In a recent Forbes article titled “CIO Lessons Learned: My Approach To The Top 10 Strategic Issues Of 2015“, Mark Sunday of Oracle says, “the CIO must be adept at understanding and responding to […]
          Nuit Blanche in Review (June 2017)   

Since the last Nuit Blanche in Review (May 2017) we've had three implementations related to Deep Neural Networks, a few in-depth post ranging from training nets to compressive sensing,  a dataset, two Paris Machine Learning meetups, one meeting announcement, several videos of talks and four job announcements. Enjoy !

Implementations

In depth

Book
Dataset

Paris Machine Learning meetup

Meeting
slides

Videos

Job:






Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

          2017年Q1のスマートフォン出荷台数が公開。SAMSUNGが8000万台でダントツ1位   

旭日大数拠(SUNRISE BIG DATA)が2017年Q1(1月 ~ 3月)のグローバル市場におけるスマートフォンの出荷台数を公開しました。   出荷量は3.51億台で、前年比より5.4%の成長に成功してい […]

2017年Q1のスマートフォン出荷台数が公開。SAMSUNGが8000万台でダントツ1位ReaMEIZUで公開された投稿です。


          The Challenges of Industry 4.0   

I interviewed Jeegar Shah who discussed The Challenges of Industry 4.0.

 

 

 

 

 

 

You’ve been a Microprocessor design engineer, co-founder of a SaaS startup in the life sciences space and then a management consultant with McKinsey & Co - so what brings you to Falkonry?

 

Hi, Dustin, first up thank you for having me - excited to be doing this. Before I give you a long twisted answer - let me just cut to the chase and get to the 3 reasons as to “Why Falkonry?” - this is one key trait that you’ll see with ex-McKinsey consultants.

 

  1. Well, The obvious promise - There’s been a lot of buzz about Industry 4.0 and the $11T IoT opportunity with 50B connected devices - you’ve heard all the pundits so I don’t need to repeat myself, but the take away here is that Industrial IoT holds the biggest promise - about $4T. Yes, there is hype and uncertainty but I am convinced we are at the cusp of something big.
  2. The geek factor - I’ve been around geeks that bump into glass doors and I’ve been around buttoned up professionals that can sell a Lamborghini while biting into a doughnut. I am personally more comfortable around geeks - I’ve come around working with people who have bruised foreheads. And the geek factor at Falkonry hits the roof!! Yah not even the glass doors.
  3. The product - Machine learning/ pattern recognition may be buzz words but I was sold when I learnt about Falkonry. It all made sense. It was intuitive and I could connect the dots. Fortunately, my HW and SW background perfectly fit into the Falkonry product journey. Seemed like the best way to put my engineering, product and management consulting experience into practice.

 

Well, that’s 3 reasons but I did end up giving you a long twisted answer. Guess I was never cut out to be a management consultant after all and another reason why I am here.

 

In your opinion, what are some of the ways of capturing value from Industry 4.0 applications?

 

There really isn’t a text book answer for this and the answer will vary depending on the subject and context at hand. But if I were to generalize I would say:

 

Digital enablement:  In my opinion providing a digital gateway to manufacturing can accelerate existing lean processes, and help to build a data-driven mindset, thus laying the foundation for more advanced technologies that will in turn pave the way for efficiencies and optimizations needed for Industry 4.0 to succeed. Digital dashboards for example help support performance analysis to achieve OEE improvement by increasing engagement of frontline operators and management. People often don’t realize that performance data usually persists beyond the shop-floor whiteboard. It supports normalized calculations and reporting, allowing KPIs across previously siloed functions, plants, and business units to be shared and benchmarked for consistency and best-practice sharing

 

Automation: When we talk automation, we imagine robots taking over the floor and displacing humans. Yes, for sure we expect significant adoption of robots on factory floors. This trend is expected to further accelerate because of advances being made in sensing the data (and hence the buzz on sensors) and making sense of the data (which leads us to the discussion on Artificial Intelligence). So it’s not just the invasion of robots and automation on the factory floors. Automation can also apply to decision making, resource allocation, demand forecasting, order management, etc

 

Throughput optimization: Factories stay competitive by maximizing throughput and managing costs. So the digitized data that we spoke of before can be used for process control systems to optimize yield. Now, in manufacturing operations, a lot of operational intelligence characterized by time series data stays hidden. Identifying bottlenecks OR processes that are largely responsible for impacting quality OR levers that impact the yield are hard to decipher for a human. Throwing the right technologies to get a better real time measure of operational efficiency can lead to higher throughput and higher profits.

 

Predictive maintenance: Predictive maintenance typically is geared to see an increase in machine availability and a reduction in maintenance costs – based on the introduction of new predictive maintenance algorithms. Companies need three components to be successful in predictive maintenance: knowledge of the respective asset, strong advanced analytics know-how (such as machine learning), and the appropriate change management capabilities.

 

If you notice, all these capabilities are not orthogonal to each other. Digital enablement leads to Predictive maintenance which is turn leads to Throughput optimization. Automation is needed to ensure scalability of all these capabilities. But the take away here then is that a disciplined, data-driven and measured approach are the key enablers to Industry 4.0.               

                              

You mentioned Industry 4.0 and the buzz. So where do you see some of the challenges?

 

Industry 4.0 has raised definitely high expectations, and not all have been met yet. And there definitely is the accompanying buzz of Operations optimization, predictive maintenance, inventory optimization, health and safety - you name it - not all of which has been measured in terms of expectations and measures of success. Everyone, wants a magic wand. But Industry 4.0 implementation is a multiyear process, and more applications will develop as technologies mature further. It is imperative that manufacturers across the world start now with a set of concrete applications.

 

There’s been a degree of disillusionment in the actual implementation and results so far are mixed. On the one hand, we still see high uncertainty among manufacturers regarding what implementing Industry 4.0 really requires of them – and many are still struggling to even get started. On the other hand, most technology suppliers have moved relatively fast in adjusting for Industry 4.0. Very few technology providers and manufacturers have an overall strategy in place and even fewer have assigned clear responsibilities and goals.

 

Industry 4.0 requires a plethora of technology requirements - both IT and OT. Whenever you have a confluence of varied technology stacks, you can easily find yourself in implementation mayhem where half-baked solutions that are often patchy and in hindsight the solution stack not scalable or portable. Executives are driving Industry 4.0 strategies without understanding and appreciating the nuances and limitations of machine learning, big data, OT/IT protocols, connectivity standards, etc. For eg. executives clamor for more data and throw resources at big data technologies. Big data is more often dumb data with little contextualization. The secret lies in marrying human experience with algorithmic power to identify patterns that are more conclusive, useful and actionable.

 

 

I guess you are heading somewhere with that - and so how do you think Falkonry fits the bill here?

 

Yah, sure! But before I get started with that - let’s dig a little deeper into the motivation. Peter Thiel in his book “From zero to one” - picks up on an interesting discussion. There’s this ominous outlook and concern of AI and machines taking over the world, humans being replaced from their jobs and Skynet beaming humans out of existence. This all calls for some interesting science fiction but he cites several examples where human skills are complementary to opportunities that can be enabled through computers and AI. Machines can toss gigabytes around but aren’t as great at making judgements. Case in point, you can train a model to recognize cats with 90% accuracy after scrumming through thousands of training images but that’s something a 4 year old can do easily.

 

Falkonry builds up from this premise. While Falkonry can use advanced signal processing and machine learning techniques to identify temporal patterns in time series data, the data gets enriched when a subject matter expert annotates his experience on top of those temporal patterns. With a more contextual perspective to these patterns, it suddenly makes much more sense. Thus, Falkonry is a tool for subject matter experts - a tool that empowers them to cut the cord of dependence on data scientists and programmers that work in their own bubble. It also helps minimize context that is lost in translation as humans talk to each other and instead provides a paintbrush for subject matter experts that understand the operational data best.

 

So to sum it up, the answer maybe lies in the fact that it would be misleading to look for an all encompassing solution that works as a magic wand - A wand that would minimize human interaction and propel us into an automated world of connected devices that make smart decisions. What’s really needed is a way to equip, enhance and complement human judgement with better data enabled decision markers - and that’s Falkonry to the Industry 4.0 challenge.

 

 

About Jeegar Shah

 

 

 

 

 

Jeegar Shah

 

Sr Director at Falkonry

 

LinkedIn Profile

 


          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Coordinate social media outreach. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          DBA - SQL Big Data (Vertica, Hadoop) - USA-CA-San Diego   
Exciting role for a solid DBA to work with RDBMS and Big Data! Title: Operations Database Administrator Responsibilities: Install, Maintain analyze the Microsoft SQL server 2014 infrastructure clust...
          Daily Deal: The Ultimate Data Infrastructure Architect Bundle   

Businesses have access to mountains of data. Big data and how to properly manage it is a big deal. The $36 Ultimate Data Infrastructure Architect Bundle is designed to teach you how to manage it all to make it more useful. The bundle includes 5 courses covering ElasticSearch 5.0, Apache Spark 2, MongoDB, Hadoop 2, and Amazon Web Services (AWS). You also receive 5 e-books offering expanded training on the concepts introduced in the courses. You’ll get an ElasticSearch 5.x Cookbook, Fast Data Processing with Spark 2, a MongoDB Cookbook, Learning Apache Kafka and Apache Flume: Distributed Log Collection for Hadoop.

Note: The Techdirt Deals Store is powered and curated by StackCommerce. A portion of all sales from Techdirt Deals helps support Techdirt. The products featured do not reflect endorsements by our editorial team.



Permalink | Comments | Email This Story

          How Driven Brands Uses Big Data For Franchisee Recruitment   
Using "big data" to recruit franchisees at Driven Brands
          ESG RECRUITMENT: Graduate Trainee Researcher / Resourcer - Big Data & Cyber Security Recruitment Firm   
£22,000-23,000 starting salary with 1st Year OTE of £40,000+: ESG RECRUITMENT: If you’re a Graduate or 2nd jobber looking kickstart your career in Recruitment, this is a unique opportunity to be part of a great start-up business. Old Street / Shoreditch, Central London
          Healthcare meets big data   
"Globes" profiles the 10 Israeli startups in the Reboot Forum 2017’s Leading Healthcare Initiative, presenting innovations based mainly on big data analytics.
          SQL/Big Data Developer   

          SQL/Big Data Developer   

          Data Engineer   
I am currently looking for a senior Data Engineer to join a team based out of Amsterdam. My client is working on a new product aid at helping people doing research. As a result they are looking at going to be needing some additional resource in the Big Data space within there project and are now looking for a Data Engineer...
          Graduate executive assistant - major financial ins... [London]   
Our client is a leading technology company. they use scientific techniques, big data and world-class technology to predict future movements in financial markets, and develop the platform to deploy these ideas globally across multiple asset classes. they offer a dynamic, flexible and highly stimulating environment where good ideas are prized and rewarded. the software engineering division is looking for an executive assistant to work closely with the group heads. you will report directly to the d...
          Big Data Developer   

          'Big data analytics to become $16 billion industry by 2025'   
Big data analytics sector in India is expected to witness eight-fold growth to reach USD 16 billion by 2025 from the current USD 2 billion, industry e...
          Los votantes de Trump son, en su mayoría, usuarios de Windows   
¿Existe algún tipo de correlación entre el sistema operativo que usas y tu ideología política? Podrías pensar inicialmente que no, pero el big data no perdona: un estudio llevado a cabo por Axios ha levantado...
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Manejar la relación comercial local con socios y proveedores, Colaborando con el equipo de alianzas y asociaciones mundiales....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Manejar la relación comercial local con socios y proveedores, Colaborando con el equipo de alianzas y asociaciones mundiales....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Coordinate social media outreach. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Big Data Engineer   

          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
ESPECIALISTA DATOS BIG DATA OBJETIVO: Responsabilida de la abricación y entrega de las soluciones de consultoría solicitadas por los clientes así como
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Profesional Desarrollo de Negocio / Producto Big Data OBJETIVO: El candidato será responsable de la definición, de la planeación y ejecución de la
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Profesional Desarrollo de Negocio / Producto Big Data OBJETIVO: El candidato será responsable de la definición, de la planeación y ejecución de la estrategia
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Big Data Engineer   

          Cloud Full Stack Engineer - Infox Consulting - Bellevue, PE   
Familiarity with big data engines (Hadoop/MongoDB/etc). Design and implement the following:. As a Cloud Full Stack Engineer you will have the opportunity to...
From INFOX Consulting - Fri, 23 Jun 2017 10:56:36 GMT - View all Bellevue, PE jobs
          Analyste-programmeur BI - CGI - Lac-Saint-Jean, QC   
Connaissances en Big Data (gestion des données et/ou outils) un atout; L'analyste-programmeur BI assure la définition et l'évolution des fonctionnalités des...
From CGI - Wed, 26 Apr 2017 19:53:56 GMT - View all Lac-Saint-Jean, QC jobs
          Operadores hipotecarios nos conocen muy bien gracias a Big Data   
La startup TheNumber toma datos de firmas de mercadotecnia, documentos de préstamos públicos, tribunales y docenas de otras fuentes, y los vende a los operadores en bonos y préstamos hipotecarios...
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Has basic knowledge of Adobe software (especially Photoshop, Illustrator and Indesign). Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          A Collection on the prevention, diagnosis, and treatment of sexually transmitted infections: Call for research papers   
by Nicola Low, Nathalie Broutet, Richard Turner Nicola Low and colleagues announce a call for research papers on sexually transmitted infections, to accompany a Collection on the topic. Tratto da: www.plos.org. All site content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license.
          Confira o Olhar Digital Plus [+] na Íntegra   
Design, hardware e software garantiram o sucesso do iPhone 10 anos atrás  Veja como avaliar eficiência energética e economizar bateria do smartphone  Internet das Coisas, Big Data e Inteligência Artificial podem salvar vida em UTI Cybercrime usa até tomadas USB para atacar usuários; saiba se proteger    
          Internet das Coisas, Big Data e IA podem salvam vida em UTI   
Tempo é "muito" mais que dinheiro; especialmente em uma UTI… Em uma UTI, são necessários três minutos de atendimento para salvar a vida de um paciente em parada cardiorrespiratória. E quanto mais rápido os médicos tiverem acesso às informações sobre o estado clínico e situação real do paciente, maior é a chance de sucesso no atendimento. É isso que uma nova plataforma de integ...
          País em compasso de espera.    
 photo foratemer33_zpsuqp8q48b.jpg• Horário de verão não reduz consumo de energia, revela estudo. 
• Base de Temer evita declarar apoio em votação da denúncia. Em enquete da Folha com deputados, só 13% dos aliados são contra investigação. 112 deputados dizem não saber como votarão sobre denúncia contra Temer; Acusação contra presidente cita 14 nomes. Além de Rocha Loures, aliados próximos de Temer foram envolvidos na peça. 
• Janot pede mais 60 dias de investigação em inquérito contra Dirceu e filho; Enquanto houver bambu, vai ter flecha, diz Janot, sobre fim de mandato. 
• Presos da Lava Jato em Bangu 9 serão transferidos por questões de segurança. 
• Atenção! Em outro novo partido e candidatura de Álvaro Dias, Podemos, é criado em Brasília. Sei não, mas parece o eleito. 
• Ao lado da Lava Jato, STJ julga de trem lotado a liberdade de macaco. São 339.553 processos. 
• Congresso deve proibir governo de bloquear recursos de passaportes. 
• Com reforma da Previdência em risco, governo estuda fim do abono salarial. Benefício pago a trabalhadores que ganham até dois salários mínimos custará aos cofres cerca de R$ 17 bi; CPI da Previdência: Empresas de Joesley Batista devem R$5 bilhões à Previdência. Dívida previdenciária das empresas J&F e JBS é uma das maiores. 
• Discussão sobre o fim da Justiça do Trabalho esfria na Câmara. Reforma pode tornar a Justiça do Trabalho desnecessária. 
• Joesley diz ao MPF ter avisado Lula e Dilma sobre R$ 300 milhões ao PT. 
• Governo estuda fim do benefício do abono salarial. 
• O grito do silêncio: em vez de ir para as ruas, cidadão optou por ficar em casa. Greve geral que não ocupa a Esplanada dos Ministérios não é greve geral. 
• A nova procuradora-geral. Espera-se que Raquel Dodge seja firme no combate à corrupção, mas que restitua ao Ministério Público o respeito absoluto à lei. 
• Defesa de Aécio pede que Gilmar seja relator. Advogado alega que investigação contra o tucano não tem relação com a Operação Lava Jato. 
Há diversos líderes de organizações criminosas, diz procurador. Para Carlos Lima, interesses políticos banalizam discussões sobre funcionamento de esquemas. 
• Mecanização da lavoura cria legião de desempregados. Mudança deixa ex-boias-fria com problemas de saúde em Minas e Maranhão. 
• Associado ao crime, funk proibidão se expande no país. Gênero polêmico cresce em meio ao debate sobre sua criminalização no Senado. 
• Algum alento. Em tramitação avançada, reforma trabalhista mantém boas chances de sobreviver à crise política que embotou o governo de Michel Temer. 
• Investimento privado recua ao menor nível desde 2000. Com cenário instável, firmas e famílias preferem retorno dos juros da dívida. 
• Fundo Brasil-China pode financiar até 100% de projetos nacionais.
• Investir se tornou negócio mais arriscado após Lava Jato; Lava Jato e os novos cães de guarda. Impor o capitalismo aos capitalistas é herança empresarial da operação. Rombo do governo suga 60% da poupança financeira total. 
• Petrobras vai propor ao conselho venda de ações da BR Distribuidora. 
• Roger Abdelmassih retorna à prisão de Tremembé para cumprir pena de 181 anos. 

• Francisco e a pedofilia. Indiciamento de cardeal australiano acende dúvidas sobre a eficácia das ações conduzidas pelo papa para banir práticas como o abuso de menores. 
• Primárias no Chile decidem presidenciáveis. Ex-presidente Piñera, líder nas pesquisas, enfrenta disputa contra populista. 
• Putin era agente medíocre, diz ex-chefe. Nikolai Leonov era o número dois da KGB, onde o presidente russo trabalhou. 
• Trump volta a insultar os meios que estimulam o ódio contra ele. 
• Protestos da Venezuela unem todas as classes sociais. Após três meses de protestos e 80 mortos, os venezuelanos continuam protestando contra o governo de Nicolás Maduro e a favor da democracia. 
• Referente a 2014, dirigente russo se irrita e nega doping de atletas do país. 

Janot: Enquanto houver bambu, lá vai flecha!
Enquanto houver bambu, lá vai flecha. Até o 17 de setembro, a caneta está na minha mão.
Assim Rodrigo Janot encerrou sua participação em debate no 12º Congresso da Abraji (Associação Brasileira de Jornalismo Investigativo): garantindo que vai continuar no ritmo atual e aproveitar ao máximo os dois meses e meio que lhe restam no comando da Procuradoria-Geral da República.
Janot decidiu não tentar um terceiro mandato. Será substituído pela opositora Raquel Dodge.
Ele estava ali na condição de entrevistado mais procurado da República, brincou a mediadora da conversa, a jornalista Renata Lo Prete (GloboNews), neste sábado (1º). Mas sem tornozeleira [eletrônica], rebateu um bem-humorado Janot.
O procurador rebateu críticas de que a inédita denúncia de corrupção passiva contra um presidente em exercício, que ele apresentou na segunda (26), é frágil.
Seria preciso uma prova satânica, quase impossível para selar definitivamente a ligação entre Michel Temer e a mala com R$ 500 mil carregada por seu ex-assessor Rodrigo Rocha Loures.
Janot fez um trocadilho com prova diabólica, termo jurídico que significa prova excessivamente difícil de ser produzida.
O problema é que ninguém passa recibo para esse tipo de atividade ilícita, então o fundamental é olhar a narrativa e apresentar indícios fortes que liguem o denunciado ao crime, disse.
Em começo de carreira, ele e colegas se questionavam sobre o tema, contou. Não é possível que, para pegar um picareta, tenho que tirar fotografia do sujeito tirando carteira do bolso do outro. Esse tipo de prova é satânica, quase impossível.
E veio a pergunta da plateia: a evidência seria satânica pela dificuldade de obtê-la ou pelo sujeito a que se refere? Era uma chacota com o falso boato de que Temer seria adepto do satanismo.
Em uma hora e meia de conversa, ele falou sobre a polêmica delação premiada dos irmãos Joesley e Wesley Batista e contemporizou as alardeadas divergências com sua sucessora na PGR e com o presidente do Tribunal Superior Eleitoral, Gilmar Mendes.
Com ambos conserva apenas rachas teóricos, afirmou o procurador, que chegou a dizer, sem mencionar o nome, que Mendes teve uma disenteria verbal após o ministro acusar, em março, a Procuradoria de repassar informações sigilosas da Lava Jato para jornalistas.
Não tenho nenhum conflito com ele, zero, respondeu Janot. Todas as vezes em que tive que me dirigir a ele de uma maneira um pouco mais dura, afirmou, foi legítima defesa.
Lembrou que ele e Gilmar tomaram posse na Procuradoria juntos, em 1984. Naquela década, Janot foi estudar na Itália, e o colega, na Alemanha. O hoje procurador-geral contou que volta e meia visitava Gilmar no país vizinho, e eles tomavam sorvete (logo depois consertou: sorvete, não, cerveja!).
Janot definiu como legítima a escolha de Dodge, que tomará seu lugar quando ele deixar a chefia da PGR, em setembro. Temer a pinçou da lista tríplice para o cargo promovida pela ANPR (Associação Nacional dos Procuradores da República). Ela era a segunda colocada, em detrimento do postulante mais votado, Nicolao Dino, próximo ao atual cabeça da PGR.
O importante é o nome ser escolhido dentro da lista, e isso ele [Temer] fez.
O procurador disse fazer parte do processo recentes decisões do Supremo Tribunal Federal que reverteram dois entendimentos da PGR: a soltura do deputado da mala, Rodrigo Rocha Loures (PMDB-PR), e o retorno de Aécio Neves (PSDB-MG) ao Senado.
Outro tópico em debate: a imunidade a Joesley e Wesley Batista teria sido excessivamente benevolente? Janot foi enfático: faria tudo de novo. Se você me perguntar se eu faria de novo, hoje afirmo tranquilamente que faria.
Pediu, então, que mudassem o foco da questão. Vocês estariam me perguntando assim: Você é um louco... Como alguém chega, lhe apresenta altas autoridades da República praticando crime, e você não faz nada, não aceitou fazer acordo com essa pessoa? Você deixou que o crime continuasse a ser praticado.
Que escolha ele tinha? A de Sofia, disse Janot: Vou não fazer o acordo e fingir que não vi isso?.
É fácil ser herói retroativo e questionar o acordo agora, disse Janot, que logo argumentou: caso se recusasse a negociar com os Batistas, o caso judicial contra eles iria à primeira instância, e lá se iriam anos de processo arrastado na Justiça.
Não adianta chegar para o colaborador e dizer: Meu amigo Joesley, venha aqui. Vou te propor um acordo, beleza? Vou te dar uma caixa de bombom Garoto. (Josias de Souza) 

Quem é o grevista de greve geral?
Inicialmente cabe perguntar: como pode ser "geral" uma greve sem apoio da população? Pelas siglas das bandeiras que agitam, os habituais construtores da confusão e suas massas de manobra acham muito bom o ambiente político promovido na Venezuela e os resultados colhidos em Cuba. Creem, então, ser de boa política demonstrar força parando o país na marra. O sucesso deles depende do fracasso de todos os demais.
São pequenos grupos articulados nacionalmente. Param o transporte coletivo na base da pedrada e do miguelito, mas não são, eles mesmos, motoristas de ônibus porque isso é muito trabalhoso. Bloqueiam rodovias e avenidas, incendiando pneus, mas não são, eles mesmos, transeuntes desses caminhos. Impedem os demais de trabalhar, mas são raros, raríssimos em tais grupos, os ativistas que ganham seu sustento com o suor do próprio rosto. Menor ainda é o número daqueles cuja atividade, por sua natureza, agrega algum valor à economia nacional. Querem é distância do mérito, da concorrência, do livre mercado. São nutridos por alguma teta política, pública, sindical ou familiar. São, estes últimos, filhinhos do papai entregues à sanha dos encolhedores de cabeças do sistema de ensino. É a geração nem-nem, mas com direito a mesada.
O que estou descrevendo aqui por intuição, os italianos diriam ser algo que si sente col naso (se percebe com o nariz). E bem mereceria ser objeto de uma pesquisa acadêmica. Conviria à sociedade conhecer o perfil dessas pessoas que volta e meia se congregam para infernizar a vida dos outros. No entanto, também com o nariz, posso intuir que a academia brasileira não teria o menor interesse em executar essa tarefa porque ela iria desmoralizar, politicamente, as seivas de que essa militância se nutre. E as grandes empresas de comunicação? Bem, pelo que tenho visto ao longo deste dia 30 de junho, tampouco elas, diante das depredações e da queimação de pneus, pronunciaram uma sílaba sequer que fosse além da mais cirúrgica narrativa dos fatos em curso. Tão lépidos em comentar tudo, entendam ou não dos assuntos, demonstram-se, hoje, absolutamente indispostos a qualquer análise do que está acontecendo. No entanto, há uma riqueza de conteúdo, tanto no que não aconteceu quanto no que aconteceu. Tudo por ser investigado.
Creio que só uma colaboração premiada poderia desvendar as entranhas dessas articulações político-ideológicas tão nocivas ao bem comum... (Percival Puggina, arquiteto, empresário e escritor)

O soro da verdade.
Quer reduzir as taxas de crimes violentos numa cidade? É simples. Encha os cinemas daquele lugar com filmes bem violentos. Essa é uma das muitas conclusões contraintuitivas que pululam no livro Everybody Lies (todo o mundo mente), do filósofo e economista Seth Stephens-Davidowitz, que até há pouco trabalhava como cientista de dados do Google.
Everybody Lies é uma obra muito gostosa de ler, daquelas que nos municiam com uma enormidade de fatos surpreendentes para contar a amigos em festas e jantares. Também traça um bom panorama de a quantas anda o big data, uma ciência que veio para ficar e deve expandir de modo nada desprezível nosso conhecimento sobre o comportamento humano nos mais variados campos.
Uma das principais teses defendidas por Stephens-Davidowitz é que as pesquisas que as pessoas fazem em ferramentas de busca funcionam como uma espécie de soro da verdade. Com efeito, poucos indivíduos irão admitir para um estranho (às vezes nem para si mesmos) que têm interesse em práticas sexuais consideradas bizarras ou estão cogitando cometer suicídio. Mas todos os pruridos desaparecem diante da caixinha de buscas do Google, já que ali ele precisa escrever incesto, zoofilia ou como tirar a própria vida para chegar aos sites que lhe interessam. O fato de termos acesso detalhado ao que as pessoas procuram na internet abre uma larga avenida de novas possibilidades, tanto para cientistas interessados em perscrutar os recônditos da alma humana como para empresas dispostas a empurrar seus produtos e serviços para consumidores incautos.
Em tempo, a exibição de filmes violentos tende a reduzir o crime porque tira os jovens de temperamento mais explosivo dos bares e das ruas (onde a maior parte das brigas e homicídios são cometidos) e os coloca nas salas de cinema, onde é mais difícil se meter em confusão. (Hélio Schwartsman) 
Só há uma maneira de acabar com o mal: é responder-lhe com o bem. (Tolstoi)

          Staff Engineer, R&D Test Engineering Job - SanDisk - Milpitas, CA   
From mobile devices to hyperscale data centers, SanDisk storage solutions make the incredible possible. Hadoop big data database management and scripting in...
From SanDisk - Sat, 06 May 2017 05:16:29 GMT - View all Milpitas, CA jobs
          eBook - Futurismi - EPUB   

Il turismo è uno dei settori forti dell’economia mondiale ed è diventato il fronte di sperimentazione più avanzato dell’economia dell’esperienza, dell’innovazione tecnologica applicata ai trasporti e all’intrattenimento, della sharing economy, dell’architettura.

Il libro racconta cos’era il turismo ieri e i grandi cambiamenti economici, sociali e tecnologici che lo stanno trasformando: dalla nascita dei parchi a tema all’invenzione del trolley, dai viaggi sulle meganavi al gaming nei musei, da Airbnb all’uso dei big data per gestire i flussi e indirizzare le scelte dei turisti.

Queste trasformazioni riguardano anche gli stili di consumo dei turisti e pongono importanti sfide in termini di innovazione. Come emergere in un mercato sempre più affollato di proposte? Come viaggeranno le persone in un prossimo futuro?


          Big Data Engineer/Architect   

          Data Engineer - CreditCards.com - Austin, TX   
Experience working within an agile environment. Bankrate Credit Cards is seeking an experienced big data engineer....
From CreditCards.com - Fri, 12 May 2017 22:18:08 GMT - View all Austin, TX jobs
          Senior-Inventive Scientist (Labs- Big Data Research) - AT&T - Bedminster, NJ   
Text mining - AT&amp;T is modeling free-form text from millions of customer surveys, representative notes, and chats as one way to manage our business in real time....
From AT&T - Sun, 25 Jun 2017 06:36:56 GMT - View all Bedminster, NJ jobs
          What is Social Cooling?   
LIKE OIL LEADS TO GLOBAL WARMING... DATA LEADS TO SOCIAL COOLING If you feel you are being watched, you change your behavior. Big Data is supercharging this…
          Comment on Serengeti Helps Enterprise Respond to the Big Data Challenge by انجام پایان نامه   
nice tex
          Data Scientist UI SDLC - TS/SCI Full Scope Poly / WSI Nationwide / Reston, VA   
WSI Nationwide/Reston, VA

Data Scientist UI SDLC - TS/SCI Full Scope Poly

Location: Reston, VA - USA

Salary: 125000 - 190000

Full Benefits: Yes

InterviewExp: Yes

ReloExp: Yes

Job Description

SENIOR CONSULTANT (FULL TIME EMPLOYEE) WITH ACTIVE TS/SCI AND FULL SCOPE POLYGRAPH (FSP)

Location: Reston VA, Washington DC Metro area

Developing electronic training systems

REQUIRED QUALIFICATIONS NEEDED:

Active TS/SCI Clearance with a Full Scope Polygraph

5+ years of experience working for an IT consulting firm

5+ years of current experience working on engagements centered around Data Science, Big Data, Analytics, User Engagement, User Interfaces, User Training, EW training solutions

Strong understanding of Software Development Life Cycles (SDLC)

COMPENSATION TARGETS: $125000 - $190,000. per year base salary+ bonus potential + exceptional benefits package + relo assistance

* Compensation is determined based on demonstrated performance and expertise during the interview process

When resumes are received, the candidate is contacted if there is a match, the situation is thoroughly described and the candidate tells us how they would like us to proceed. No information leaves our office without prior approval. This creates long term relationships, which we encourage.

WSI is a specialty recruiting organization with over twenty years experience and fees paid by our selected client companies, freeing our hands to find top level candidates for better projects all over the USA.

Employment Type: Permanent
Work Hours: Full Time

Pay: $125,000 to $190,000 USD
Pay Period: Annual

Apply To Job
          Risk Developer / WSI Nationwide / New York, NY   
WSI Nationwide/New York, NY

ELT Risk Developer (Equities Language Technology) with creative experience working with Front Office Risk systems with knowledge of financial derivatives and risk management and a background working with Python, Object Oriented, relevant and useful Unit Testing, Big Data and who has an eye for design, an independent thinker.

A plus if you have the following:

Working knowledge of the following technologies: Kafka, HBase, Spark Stream.

Working knowledge of any CEP engine a plus

Strong mathematical skills

The selected ELT Risk Developer will be working on the next gen Risk and PL Valuation engine from the ground up. This role provides exposure to internal workings of the analytical models and at the same time challenges one's technical quotient on how to extend these internal models to run them for large scale use cases.

The client will consider candidates from outside the area with relocation and interview expenses provided.

This outstanding one of a kind career opportunity is based in New York City, New York offering competitive starting base salary in the $150,000 per year to $175,000 per year range based on experience with a robust benefits package including PTO, 401K and full medical/dental coverage. Your asking compensation will be submitted after your approval. Candidates with solid skills, competitive compensation requirements will be reviewed first.

If you know someone who might qualify, (No 3rd party referrals or agencies for any WSI requirements. Please don't call to ask if there any exceptions, there aren't), e-mail a Word or RTF resume with contact information, address and phones to Jay J., with the subject line of this message in the subject line of the message you send, (no URL resume links and please do not return a copy of this announcement with your response) at (see below)

When resumes are received, the candidate is contacted if there is a match, the situation is thoroughly described and the candidate tells us how they would like us to proceed. No information leaves our office without prior approval. This creates long term relationships, which we encourage.

WSI is a specialty recruiting organization with over twenty years experience and fees paid by our selected client companies, freeing our hands to find top level candidates for better projects all over the USA

Employment Type: Permanent
Work Hours: Full Time

Pay: $150,000 to $175,000 USD
Pay Period: Annual

Apply To Job
          Enterprise Performance Management Manager - Verizon - Basking Ridge, NJ   
Hadoop, HDFS, Hive, HBase, Machine Learning, Predictive and Prescriptive Analytics, Oracle Big Data Discovery....
From Verizon - Thu, 29 Jun 2017 10:58:49 GMT - View all Basking Ridge, NJ jobs
          (USA-MI-Detroit) Data Engineer II   
Data Engineer IIJob ID 537539 Location US-MI-Detroit Posted Date 6/30/2017 Company Amazon Corporate LLC Position Category Business Intelligence Recruiting Team .. Job DescriptionThe Seller Performance Team in Detroit, Michigan seeks a talented, innovative and drive Data Engineer. Our team determines which sellers are authorized to sell on Amazon, which sellers qualify for Prime and a myriad of other determinations critical to Amazon's business. The Seller Performance Team ensures buyers deal with reputable sellers and enable sellers to grow their business and reach buyers throughout the world.As an Amazon Data Engineer you will be working with one of the world's largest and most complex data processing environments. You will need expertise in the design, creation, management, and business use of extremely large (100TB+) datasets. From Day 1, you will be challenged with a variety of tasks, ranging from server administration to metadata modeling. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets.. You will contribute to the evolution of your team's data engineering practices, recommending changes in development, training, maintenance, and system standards. Above all you should be passionate about answering challenging and complex questions using data and your own dash and drive.Come join our team and deliver amazing solutions that use data to delight both buyers and sellers and bring them together.Basic Qualifications- Bachelor's Degree in Computer Science or a related technical field, and 4+ years of relevant experience- Experience in designing and operating very large Data Warehouses- Strong data modelling skills- Solid SQL and Linux skills- Expertise in using OLAP technologies and BI Analytics- Experience in at least one reporting tool- Capable of investigating, familiarizing and mastering new data sets quickly- Strong troubleshooting and problem solving skills- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner- Solid communication skillsPreferred Qualifications- Smart and fearless- Experience with NoSQL data stores- Experience with Map Reduce a plus- Design and scripting experience in one of Perl, Python, Shell script- Experience with multiple database platforms is a plus- Java development experience- Big data application development experience in Apache Hadoop, Spark or related expertise- Experience with Amazon Redshift and other AWS technologies- Strong organizational and multitasking skills with ability to balance competing prioritiesAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
          Senior Software Engineer needed for Exciting Austin Start Up!   
Austin, If you are a Software Engineer with experience, please read on! Based in Beautiful Austin, TX, we are a up-and-coming start up working on creating a huge splash in the Big Data world. We are looking for a Senior Software Engineer to grow with us as we start to take off! What's In It for You You will be working in an exciting start up with other brilliant minds creating next generation technology t
          Desde comienzos de año, sube en el 3,6% el precio de la vivienda en Ávila   
Según los datos de Precioviviendas.com, elaborado a partir de los datos de mercado de las 34.330 viviendas de la ciudad, el precio medio del metro cuadrado es de 1.058 euros. Precioviviendas.com, que utiliza la tecnología big data para ofrecer el precio de las viviendas, destaca que en algunas...
          Scala Developer (Big Data)   
Mortimer Spinks - London - Scala, Java, JVM, Big Data - Scala or Java Developer - London, UK Java, Scala, JVM, Elastic, Cassandra, Spark, Kafka, Angular - Full...-Stack Developer is required for a leading Big Data organisation based in Central London. Scala Developer to join our talented development team...
          Python/Hadoop developer with Big Data Experience   

          Online Hadoop Training   
What is Big Data and Hadoop? It is known as to be the process where the huge amount of data is gathered, regulated and analysed before it is processed all throughout. In this whole series of process, various patterns and different information are taken up such that the companies or the various enterprises can bring up their profit charts. Hadoop is a Framework that supports distributed storage and parallel processing. Hadoop is primarily used for batch processing. Why to go for Big Data Hadoop Certification Course? Big Data Hadoop Online Training would help you elevate your career to a next level. The world that we live in today is now completely following a big data trends. The one’s already in IT industry and looking to learn and succeed further, this would be a great step as Big Data is getting much bigger and buzzing & it is going to change the whole plan of Business Enterprises and provide a huge boost to the industries in the near future. Also for the ones who are about to start their professional career, Big Data Hadoop Online Training could be a huge opportunity and a big step to learn a technology that is going to stay for a very long period of time. Who can become a Hadoop Professionals? The following individuals are able to become a Big Data Hadoop Professional, Java developers, Architects, Big Data professionals, or anyone who is considering to building a career in Big Data and Hadoop are ideal applicants for the Big Data and Hadoop training.
          Hadoop Online Training   
Hadoop and Bigdata Online Training is allocating by MKRInfotech from Hyderabad. We are providing Instructor lead training. They’ve experience in Real time and also we providing live interaction with instructor by 24*7. From our institute novice can expect services like Course Content, Live Recording Sessions, time flexibility, and live project with assistance, course materials along with Hospitality. Hadoop is open source software, it is developed with java framework for processing Large amount of Data sets. Main concepts in Course: •Introduction to Big Data and Analytics •Introduction to Hadoop •Reporting Tool •HDFS- Hadoop distributed File System •Hadoop Programming Languages •OVERVIEW HADOOP DEVELOPER Do not hesitate ask your query: Email: hr@mkrinfotech.com Phone: +91-9948382584 , 040-42036333 Web: www.mkrinfotech.com
          IT Security Management & IT Hardware Courses Online Training - Hu   
Hub4Tech offers Online Training, Certification Test, Quiz online and Classroom training on CCNA, CCNP, CCIE, Cyber Security, Big Data, linux Exam, linux dumps paper, Alcatel lucent CCNP- switch Fortinet, ISC CAP, Cloud etc are Industry Experts Certified Trainers. Read More Services Offerings: 1.Online Training - 2.Classroom Training- 3.Certification Test- 4.Online Tutorial- 5.Interview Question 6.Coding Ground Email: info@hub4tech.com Website: www.hub4tech.com Ph no- +919069139140
          Parana Impact Services is the market leader in providing Big Data   
Parana Impact Services is the market leader in providing Big Data Users Email List, which can help for better connectivity with organizations that spend millions on IT, related products and services. We offer highly responsive email lists that can customize according to the business requirements, and will make sure you will reach the right contact at right time. We are the pioneer in executing comprehensive data marketing services especially Big Data Users Email List, which has key details for rolling out effective and productive marketing campaign. By using our Big Data Users Email List in a proper way, you can contact business professionals' from mid level management to C-Level high end executives who are working in IT industry. These high profiles in our contact database are always in the lookout for new services and products that will assist them to gain a personal growth and for better business succeed in the long run. Our Big Data Users Email List is acquired through in-depth research to make sure your message will be deliverable to your targeted audience and enhance your returns on investment by attaining better communication with your clients. Our Big Data Users Email List are focused at enhancing the company's B2B Email Marketing | Direct marketing | Telemarketing | Online marketing campaigns | Event marketing and other The fields covered by Parana Impact Services include complete contact details like: Contact Name | Title | Email, Postal Address and Zip Code | Phone Number, Fax Number | Company Name | Web Address | SIC Code & NAICS Code | Industry Types and more Sources: Parana Impact Services accumulate this contact email list through various sources including Trade shows, Business Directories, Seminars, Surveys, Health Care Directories, Business Directories Exhibition, Trade Magazines, Online Subscriptions and more. Big Data Users Email List comes with the following titles: Big Data Users CEO Email List Big Data Users CTO Email List Big Data Users CFO Email List Big Data Users CIO Email List Big Data Users COO Email List Big Data Users Decision Makers Email List Big Data Users Directors Email List Big Data Users Owner/Partner Email List Big Data Users President Email List Big Data Users Vice President Email List Big Data Users Managers Email List Big Data Users Business Development Executives Email List Big Data Users Executives Email List Big Data Users Marketing Executives Email List Big Data Users IT Managers Email List Big Data Users Sales Executives Email List Big Data Users Operations Executives Email List Big Data Users Finance Executives Email List Big Data Users Corporate Secretary Email List Big Data Users HR Executives Email List Big Data Users Treasurer Email List Save Time, Money and Resources without having to compromise on standards of service. Let's Discuss About Your Project Choose how you'd like to get the conversation started: Call Us : 408-677-2933 Email us at : sales@paranaimpact.com http://paranaimpact.com/Big-Data-Users-Email-List.html
          Psychographics 101    
 What do you get when you combine behavioural science with big data and use the new Frankenstein hybrid to better influence people's thoughts, opinions and desires? Why, psychographics of course! Join James today as he delves into the murky world of billionaire hedge fund owners, creepy thought...

[[ This is a content summary only. Visit http://www.figanews.com or http://FinanceArmageddon.blogspot.com or http://www.newsbooze.com or http://www.figanews.com for full links, other content, and more! ]]
          Communication Solution, Telecom Software Development   
In past few decades businesses in communication industries has witnessed drastic technological changes and thus demanded the upgradation in their operations. The introduction of new and frequently changing technologies in market such as social media,3G/4G networks,smart gadgets,etc.has made major changes in the flow of communication. Divine holds the expertise in giving tremendous Communication Solutions to these businesses to compete in this digital world. It helps them to focus on technology as well as to give value added services to the customers. Divine works aside the companies to compete in Telecommunication market by giving the best fitted solution of Telecom Software Development to fulfill the changes in consumer behavior. Growth in digitization has given many opportunities as well as created challenges for Communication Industry. The operators need to match the pace of technological advancements, expand their business and also to give valued service. For this the industry demands to increase their network efficiencies. Divine evolved as the trusted partner who can provide end-to-end network management solutions to these businesses. It has given solutions which help them in Network Monitoring and Network Analysis to compete with changing communication technologies and increase in demand of data. Divine also provides cloud solutions to integrate the business opportunities by setting a single platform to monitor, modify and manage applications. With digitization in communication industry has changed the strategies of businesses and to involve more innovative solutions to remain in competitive market. With the innovation, they also look forward for cost effective and value added solutions. Solution which gives the revenue as well as must be capable of managing the rapid growth of data. Divine proved itself capable of providing such solutions to the Communication industries with gives end-to-end service with proper technological management and support. The management includes: customer record management, monitoring the records,etc. In today's market Communication Industry is the biggest user of information technology in the world. With the rise in data and records of consumers, large networking, handheld devices,etc all the businesses in the industry demands to minimize the risk of failing in competition and to move forward in digital economy. To drive critical business processes and to govern the data flow Divine provides Telecom Software solutions which helps in improvement in mobile communication, proper delivery of content, efficiency in consumers use. The main challenge which all the Communication businesses are facing currently is to handle the amount of huge data on time and with cost effect solution. Divine provide the best possible solution for this problem by Big Data Analytics and Network Analysis. Read More:- http://www.divinepnc.com/industries/communications-solution/
          Tableau Support Services   
If your goal is to become a data scientist, the basic step one should opt for is to learn tableau. I must say your internal customers (marketing, sales, operations) will be using tableau or something similar. Let's give a brief space to what tableau exactly is. Tableau is a Business Intelligence (BI) tool that can help you create beautiful and visually-appealing reports, charts, graphs and dashboards using your data. This data visualization software is extremely fast and easy to use as it has a drag and drop interface. Tableau helps you visually analyze your big data and it can be great catalyst in helping you solve representation of data and also can be very helpful in finding solutions to a lot of problems. You only have to invest few weeks for learning tableau and you will take another precious steps towards your success. Contact Information 209, Phase-4 Udyog Vihar, Gurgaon INDIA Mobile: 9810083546 India: 98110 50802 Landline : +91-124-4088844 USA: 408 844 3702 Email : sf@rowalim.com
          Big Data Analytics �" Foundation   
Big Data Analytics – Foundation A specialist course tailored by Ram Morla About Ram Morla: Ram Morla is an experienced IT leader poised for success in a new all-encompassing role that utilises extensive knowledge of enterprise architecture, data architecture, master data management and information architecture across a multitude of industries including Banking, finanace, Insurance, manufacturing, media, digital, supply chain, food aggregation, regulatory compliance etc... He is founder of Answers, Decisions and beyond- A Startup based in UK, Xbean a Consulting company... worked in many countries including UK, USA, Denmark, Sweden, Netherlands, Germany in many industries Eg: Automobile, Banking, Insurance, Telecom, Investment banking etc... Course Duration: 7 Weeks-3 days a week Online (2 hours a day) Course HighLights: Module 0 Big Data Hadoop , Non Hadoop FrameWorks Fundamentals of BigData Hadoop MapReduce and YARN Mongo DB Module 1 Data Science Foundation of DataSciences BigData Software Tools R Basics Python Introduction to Python R Module 2 Predictive Analytics Big Data Eco-System Machine Learning for Prediction Advanced Analytics for Big Data Attend Free Demo session with Mr.RamMorla. For More Details Contact: SivaPrasad, +91- 9036180777, 9686238647
          Hadoop Training and Certification   
MindsMapped is one of the best online Hadoop training and certification providers in the United States of America. It has the most trusted and respected Hadoop trainers. All its trainers are highly qualified and will help you to shape your career in Big Data and Hadoop. After completion of this online training and certification course any of you can easily appear and pass job interviews or any certification exam. Some of the key benefits of undertaking MindsMapped’s Hadoop Training are as follows: You learn about Big Data and Hadoop from basics. So, if you are new to Big Data and Hadoop then need not worry. Every enrolled student will get access to the study material for lifetime. Class videos can be replayed for making any clarification or if you have missed any class After every module quiz is conducted for making it sure that you have clear concept about each and every discussed so far. Every student can contact trainer via email to clarify their doubts. All the important topics of Hadoop including Pig, Hive, and Hbase are covered in the training program. Your resume will be prepared in such a way that it gets maximum eyeballs. In order to get more information of Big Data and Hadoop training, simply visit / contact us at: Address: 4760 S Highland Drive #114, Salt Lake City, UT 84117, United States Phone: +1 385-743-0999 Website: http://www.mindsmapped.com/big-data-hadoop-training.html
             
Internet Security Will Require Combined Global Effort
By Li Qiaoyi
Global Times
2017/7/2 19:53:39

Derek O'Halloran Photo: Li Qiaoyi/GT

Editor's Note: With the likes of WeChat and Alipay becoming household names across the globe, the Chinese economy is increasingly associated with Internet firms. Along with the excitement, however, there are also increasing concerns over cyber risks. In an exclusive interview on Wednesday at the "Summer Davos" forum in Dalian, Northeast China's Liaoning Province, Derek O'Halloran (DO), head of Digital Economy and Society System Initiative and member of the Executive Committee of the World Economic Forum (WEF), talked with Global Times reporter Li Qiaoyi (GT) and gave some valuable suggestions about how China can be more secure in a connected world.

GT: What do you think are the major reasons behind the rise to global prominence of big Chinese Internet firms such as Alibaba, Tencent and Baidu?

DO: One is that they have taken a very innovative approach to reaching out to the market. They've taken some great ideas that you see in Western platforms and then they've innovated beyond that. Some of the Chinese platforms have integrated multiple services in ways you probably didn't see in the first-generation platforms in the West and that makes them quite interesting and keeps the customers on board for a longer journey. Of course the other part is the significant market size in China.

GT: What do you think is the biggest challenge facing the oversight of China's Internet sector and its Internet economy?

DO: I think the challenge for China is the same as for any country when we connect people through digital technologies and increasingly we connect things into a global network - it means that a lot of the different opportunities as well as the different challenges or risks we develop in different markets and different institutions suddenly can press in together because the same piece of data you can use for multiple things, for instance, to buy and sell a product, to protect privacy or national security. So how that data is used becomes very difficult to govern even in a domestic setting and of course once you put that together with multiple countries each trying to do that, it becomes very challenging. I think the challenges China faces there are the same as for everybody. It requires new ways for different ministries, different businesses and governments, as well as countries, to work together.

GT: Compared with other countries, how effective has China been in regulating its Internet sector without strangling the growth of innovative and disruptive business models?

DO: It's really about trying to strike the right balance. Clearly you see organizations like Alibaba and Tencent - there's a huge surge of innovation that's enabled there. And if you look then at the way some of those companies are approaching the market, you can see great benefits there as well. When you look at some of the industrial space, and the Internet of Things, how we really understand it and use it for a competitive advantage, I think China is probably one of the countries that are at the forefront of that.

How to collaborate across ministries is a very difficult challenge and China has developed some interesting approaches there. The creation of the Cyberspace Administration of China could be an example. How it works with different ministries is of course something you must figure out and I'm sure that's still a work in progress. But trying to at least think about how to coordinate across different sectors is important, because the same information about the citizen will be important both for transport and for health for example, and if each ministry is just developing its own approach to managing data, you may end up with a situation where you have a different and more fragmented policy.

Still, these are very early days. This is the process we have to go through, I think, over the next several years.

GT: Could big data help resuscitate the planned economy, as Alibaba founder Jack Ma has put it?

DO: I don't think there will be a reversion to some previous model. I think what we'll see is the creation of a new model that will combine different aspects of decentralized economies and different aspects of planned economies.

GT: With China at the forefront of digitalization, will the country pioneer some efforts in governing big data?

DO: The field of how to govern big data or data in general is in its very early stages and it's wide open for anyone to innovate. We've already started some pilots at the WEF around types of data to see whether we can understand different contexts and situations where you may want to use data and who are the different parties, stakeholders involved, whether they be individuals, some different companies or the government. So, can you design a set of governance mechanisms for the data that is fair to all of the people involved? Using some technological solutions, maybe you can do that, because maybe you don't need to share all of the data. You only share small pieces of data in order to allow health delivery or criminal justice, or in order to enable a transaction for somebody to buy something on the Internet. That road will be around being more nuanced around different types of data and pieces of data rather than thinking about big data as one big thing.

GT: How vulnerable do you think China is to cyberattacks?

DO: I wouldn't comment on the sort of technical capabilities, because that's something that is as well documented in the public domain as anywhere. I would say that for any country, any organization, I don't think one can ever be completely secured. It's the nature of the digital world we're in. We can reduce the risk and improve our ability to respond, but it's very difficult to completely eradicate risk. Now there are different types of attacks and there are different motivations and different things that people would bring to that. Not every attack comes from the outside. The vulnerability is not something that is a Chinese government issue, so if we want to innovate around policy and regulation, we need to do that collectively. Because the challenges are ones that no one party can solve by themselves. Even all the governments together won't be able to solve these issues. You need the government, businesses, probably academia, civil society and various different groups in order to be able to contribute different pieces to define what roles and responsibilities they each have.

GT: What should be most urgently done for China to defend itself against cyber attacks?

DO: There are two types of challenges in cyber security. One is that there's a whole bunch of stuff that we know we should be doing that were not doing. For most of the digital infrastructure and most of the users, it's very distributed, so it's not owned by just the government or just the State-owned enterprises or just the private sector and then the individual users. There could be vulnerabilities anywhere. There are lots of good practices that have been developed over the past 15, 20 years that most companies still don't do. So the first thing we need to do is to educate businesses and also citizens about doing the things we know that we should be doing.

The second set of challenges that are emerging are things that are quite difficult and we actually don't know the right answer yet. As we start to connect lots of things to the Internet, some may no longer be supported and there may be a gap. That's a discussion you would have to have between the private sector and the government. Because many products made in China will be sold elsewhere. You also have to have that discussion with industry associations and governments in other countries.

We're only going to become more secured if we do this together. We also need to build trust at the global level. In a connected world, we're either all safe together, or we're unsafe together. There is nothing in between.

          IT Training- Analytics, Big Data, BI, Cloud Computing etc.   
ABOUT US We, the Meritas Team, is a group of committed and hardworking professional techies, trainers and business consultants. We create, improvise and adapt the best practices in training industry to help our students to standout in the job market to get placed fast. Once a student joins with us, we impart the best possible technical real-time training. Along with that we give utmost care to groom his/her communication, leadership, interpersonal and language skills. We have a committed team of professional HR professionals to help our students to find their dream jobs as soon as they finish their courses. To know more about our courses and services please leave us a message at- info@meritas.in MISSION At Meritas, our ultimate Mission is to empower our students to reach their full potential and live their life to the fullest. To meet this end we are committed to create and deliver a wide array of technical and non-technical training and educational programs that will help our students to become employable, competent and confident in whatever field they want to venture. VISION Our Vision is to Create Positive Life Changing experience for our students through our Educational and Training Programs and to ensure Exponential Profitability and Growth for the Organization.
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Create and distribute customer surveys. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Big Data Developer - Intelligent Solutions - JP Morgan Chase - New York, NY   
Experience with machine learning is preferred. Knowledge of industry leading Business Intelligence tools. Consistently evaluates decisions in terms of impact to...
From JPMorgan Chase - Tue, 09 May 2017 10:34:19 GMT - View all New York, NY jobs
          Senior Manager – Big Data Engineering - Capital Markets Placement - New York, NY   
We’re looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a...
From CMP.jobs - Mon, 01 May 2017 09:22:09 GMT - View all New York, NY jobs
          Verizon's plan to create a data powerhouse to challenge Facebook and Google is fraught with challenges   

switchboard telephone operatorWikimedia Commons

Verizon, or more specifically it's newly formed digital media division Oath, has an intriguing new plan. It wants to put together a wireless data powerhouse in its quest to challenge Facebook and Google in digital advertising.

Specifically, the company wants to rent reams of consumer data from major competitors like Sprint, T-Mobile, Vodafone and Telefonica that can be used for ad targeting.

Call it the Hulu of wireless data.

Besides the unusual competitive politics involved in such an undertaking (who's in charge? How are we getting paid), it's worth asking, what would such an arrangement look like when it comes to execution? Just how hard is this going to be from a technical perspective? Business Insider talked to some experts about what Oath will be facing in putting such an endeavor together.

Here are some of their big questions:

How hard will it be to mix different data from different wireless companies?

Austin Wright, senior vice president of strategy at the data-centric marketing firm Ansira, said that just stitching together the multiple data sets together will be a Herculean challenge, since each provider "may be supplying data at different levels." For example, one carrier may supply more granular numbers on its customers, while another may provide summarized data, or data on broad segments of consumers.

"Let’s say Verizon’s data is tracked on zip code, and T-Mobile is based on households," said Jeff Smith, chief marketing officer at LiveRamp, which helps marketers move data between different systems. "That's not that simple. It's not just a few more columns in the spreadsheet."

Plus, some carriers may estimate portions of their consumer data, Wright said, while another may focus on more raw numbers. And some data may come from households with multiple accounts, such as family plans.

"All of which further complicates matters," Wright said.

How with the data integration actually work?

Smith said that Oath and its would-be partners have to figure out whether they will mix and match the data themselves, or do so virtually using a third party tech company. Doing it yourself can be messy, he explained. 

You either need a third party that has built software designed to reconcile reams of data, or you "need some data scientists," he said. Smith pointed to comScore's acquisition of Rentrak last year as a model of how big companies with big data sets were able to mesh them together quickly with the help of third parties.

Smith estimated that working with an outside vendor could take Verizon and company six to nine months to make its mixed data sets useful, while the DIY option could take more than a year.

Servers for data storage are seen at Advania's Thor Data Center in Hafnarfjordur, Iceland August 7, 2015. REUTERS/Sigtryggur Ari Thomson ReutersBeside the data blending, what about security?

Steven Wolfe Pereira, chief marketing officer at Neustar, a tech company specializing in data management, noted the recent string of cyber attacks as making security concerns even more paramount.

That means that Oath and friends will not only have to make sure that nobody's real names or addresses are shared among partners or with the outside world, but also have to take steps to ensure that whatever consumers have or have not permitted individual carriers to track is respected even as advertisers look to run big campaigns that employ data from multiple carriers.

"For example, there will have to be a way to make sure that advertisers can control how frequently they show people messages and don't creep people out," said Wolfe Pereira.

Another security issue of importance is making sure that carriers don't learn too much about their competitors' customers. "You don't want Sprint to start prospecting T-Mobile's customers," said Smith. 

microsoft excel spreadsheetShutterstockAll that being said, if Oath actually pulls this off, will marketers be interested?

"Yes!," Wright said. "Most advertisers are continually serving up most of their ad budget to a handful of sources ...They want other options."

"Email addresses, web cookies, these are fractional identifiers for marketers," said Wolfe Pereira. "But the phone number is one of the most persistent identifiers, and it can be tied to a bill in your home. You can theoretically track people's online and offline behavior."

That has powerful applications for ad targeting, he said. "When it’s anonymized, and done the right way, it's a really smart play."

NOW WATCH: JPMorgan Chase explains why it pulled ads from YouTube and Megyn Kelly's show, and reveals a unique strategy it uses to combat fake news


          Big Data NoSQL Databases with Graph DB   

          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          Chemical Analyst (QC) (zagranica)   
SIRE Life Sciences® - Opublikowano: 02 lip 2017
SIRE Life Sciences® is the market leader in life science recruitment. We believe the recruitment market needs to gear up in technology and continues innovation. We like technology, in a life science market driven on science, we couldn’t stay behind; we drive Recruitment Science. Investing a majority of our turnover in technology enables us to use unique Resource Technologies. By using highly advanced algorithms, we enable our team of Resource & Data Strategists© to maintain the most advanced, detailed and complete Life Sciences network in Europe. This big data enables us to work Reverse Recruitment©: we first analyze the market in-depth before we go out to the market. Because we analyze the whole market, we can compare facts and data. This enables us to do Facts & Big Data Recruitment©, making sure we, or better yet, you find the right career! THE COMPANY Our client is a professional Pharmaceutical organization, based in Noord-Brabant Netherlands. They are a global leader in the development and production of animal vaccines. ROLE DESCRIPTION You play an important role in the team as you ensure that all experiments are properly executed and that all processes meet the scheduled demand. Your job will be to guarantee all work is done according to GMP-, GGO- and SHE-standards. You will be flexible, continuously improving yourself, and thinking in terms of solutions, not problems. This function will be for a project of 12 months. RESPONSIBILITIES You and your team will be responsible for all quality control in the lab: - Ensure GMP-, GGO, and SHE-practices are followed; - Signal and report possible errors and deviances in the procedures; - Enter test data in the processing systems; - Analyse tests, results and the release of data. REQUIREMENTS An MLO-degree in (bio-) chemistry or a related field - Experience with QC; - Familiarity with GMP, GGO and SHE; - Knowledge and experience with SAP would be an asset. Are you interested and do want to apply for this role, please fill out your application via the apply button below and contact Cees Roffelsen....
          VR Developer, Unity - VR/AR, AI, Big Data - Startup in Pasadena!   
CyberCoders Pasadena, CA
           موضوعات پايان نامه کارشناسي ارشد هوش مصنوعي،نرم افزار،شبکه کاميوتري    
انجام کليه پروژه هاي دانشجوييدرسراسرايران بيش از 20 پروژه برنامه نويسيوپايان نامه پروپوزال هاي دانشجويي از دپارتمان علوم رايانه دانشگاه هاي کلمبيا هندمالزي آلمان*سوئد*دانمارک *انگلستان *فيليپين *دبي*ترکيه و... دربانک پروژه پايتخت توسط خودگروه نرم افزاري پايتخت انجام پروژه هاي دانشجويي براي دانشجويانايراني داخل وخارجازکشوررشته کامپيوتر Several suggested student programming projects for computer science majors (undergraduate, masters and PhD. students) from the Network Security Lab at Columbi@انجام پايان نامه وپروپوزال هاي دانشجويي مقاطع تحصيلي کارداني کارشناسي کارشناسي ارشددكترا و....دانشگاه هاي داخل و خارج از کشوررشته کامپيوترنرم افزار*معماري کامپيوتر*هوش مصنوعي و فناوري اطلاعات و.........امنيت شبکه* مخابرات امن *تجارت الکترونيک تحت تمامي زبانها برنامه نويسي خدمات مشاوره اي: مشاوره رايگان انتخاب موضوع پايان نامه - انجام تمامي خدمات مربوط به تهيه پيشنهاديه پايان نامه ( proposal ) مشاوره و تدوين پايان نامه هاي مرتبط با رشته هاي فوقالذکرفناوري اطلاعات* کامپيوترو.. ارائه تمامي فصول مربوط به پايان نامه ، مطابق با جدول زمانبنديتوافقي مشاوره و طراحي پرسش نامه و انجام مصاحبه و تجزيه و تحليل اطلاعات استخراجي با استفاده ازنرم افزارهاي مرتبط و در انتها ارائه مقاله اي علمي – پژوهشيبراي ارائه نشريات معتبر داخلي (علمي-پژوهشي) و خارجي (ISI)IEEE*نگارش، تدوين و اديت مقاله هاي isi براي ارسال به ژورنال هاي معتبر با ايمپکت فاکتور بالا رشته فناوري اطلاعات * گرايش تجارت* الکترونيک -*کارشناسي ارشد درمورد نقش erp و سيستم هاي اطلاعاتي و ريسک در هوش تجاري بررسي انواع چالش‌هاي موجود در رايانش ابري و رايانش توري(Cloud computing amp; Grid computing) شامل مباحث امنيت (Security)، ذخيره‌سازي (Storage)، کارايي (Performance)، دسترس‌پذيري (Availability) و مديريت، تخصيص و زمانبندي منابع (Allocation and Scheduling Resources)، توازن بار(Load Balancing). بررسي انواع الگوريتم‌ها در حوزه‌ي داده‌کاوي (Data Mining)؛ طبقه‌بندي(Classification)، خوشه‌بندي(Clustering)، کشف قوانين انجمني(Association Rules)، پيش‌بيني سري‌زماني(Time Series Prediction)، انتخاب ويژگي (Feature Selection) و استخراج ويژگي (Feature Extraction)، کاهش بعد(Dimensionality Reduction)، شخصي سازي نتايج موتورهاي جستجو و داده‌کاوي اطلاعات آنها(Search Engine). بررسي انواع الگوريتم‌ها در حوزه‌ي شبکه‌هاي اجتماعي(Social Network)؛ کشف ساختار(structure Detection ) کشف اجتماعات(Community Detection)، تشخيص اسپم(Spam Filter). بررسي انواع تکنولوژي‌هاي ذخيره داده اي، Sql، NoSql، نگاشت کاهش (MapReduce)، هادوپ(Hadoop)، کار با Big Data. بررسي، مقايسه و بهبود انواع الگوريتم‌هاي مکاشفه‌اي، فرا مکاشفه‌اي و چند هدفه مانند الگوريتم ژنتيک(Genetic Algorithm, MOGA, NSGAII)، الگوريتم ازدحام ذرات(PSO, MOPSO)، الگوريتم مورچگان(Ant Colony)، الگوريتم زنبور عسل(Bee clolony)، الگوريتم رقابت استعماري(ICA)، الگوريتم فرهنگي (Cultural Algorithm)، الگوريتم تکامل تفاضلي(DE). بررسي انواع الگوريتم‌هاي پردازش تصوير(IMAGE PROCESSING)؛ تشخيص چهره(Face Recognation)، قطعه‌بندي تصاوير(Image Segmentation)، فشرده‌سازي تصاوير(Image Compression)، نهان‌نگاري تصاوير(Watermarking). بررسي انواع الگوريتم‌هاي يادگير؛ شبکه‌هاي عصبي (ANFIS, ANN)، شبکه‌هاي بيزين(Bayesian Network)، ماشين بردار پشتيبان(SVM). استفاده از نرم‌افزار‌هاي Visual Studio، متلب(Matlab)، وکا(Weka)، رپيدماينر(Rapidminer)، Clementine، کلودسيم(Cloudsim). استفاده از زبان‌هاي Python, Java, C, C#, C++, DBMS, MySql, Sql Server, VB.NET, PHP تدوين پروپوزال، اجراي پايان نامه و طرح هاي پژوهشي و … وبررسي الگوريتمهاي شبکهاي گيريد* داده کاوي (Data Mrining) در زمينه هاي دسته بندي (Classification)، خوشه بندي (Clustering)، پيش بيني (Prediction)، انتخاب ويژگي (Feature Selection) و قواعدانجمني (Association Rules) با*وب سرويس و....الگوريتمlulea*سيستم هاي چندعامله ژنتيك* شبكه عصبي *هوش مصنوعي * شبيه سازي *بهينه سازي *سمينار*–الگوريتم چندهدفه* تكاملي *سيمولينک*بينايي ماشين*فازيکامينز*. Image Processing amp; Machine vision* SIMULINK, cloud storagerو IMAGE PROCESSING و GENETIC ALGORITHM و NEURAL NETWORK*و FUZZY LOGIC Steganalysis Facial expression Face recognition Texture segmentation Image retrieval Image segmentation Color Demosaicing ... Machine Vision: Object tracking( with all kind of methods) for various purposes Multiple Object Tracking Object Tracking with motion blur Blind motion blur deconvolution line based structure from motion Geometrical enhancemen *webrecommendation پروژه هاي محيط سيمولينک (Simulink) پروژه هاي بازشناسي الگو (pattern recognition) پروژه هاي کدنويسي مختلف و پروژه هاي مرتبط با جعبه ابزارهاي: • Aerospace• neural network*• symbolic math*• comminucation*• bioinformatic*• curve fitting*• control system*• econometric• database*• datafeed*• filter design*• image acqusition*• signal processing*• optimization* انجام پروژه هاي حاوي پايگاه داده و پروژه هاي گرافيکي تحت تمامي زبان هاي برنامه نويسي 1 - شبکه هاي عصبي مصنوعي چند لايه پرسپترون2 - شبکه هاي عصبي مصنوعي با تابع پايه شعاعي3 - درختان تصميم گيري طبقه بندي و رگرسيوني4 - مدل هاي درختي5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني6 - سيستم هاي استنباط فازي7 - سيستم هاي استنباط فازي - عصبي8 - سيستم استنباط بيزين با استفاده از نرم افزارهاي: Clementine, SPSS, WEKA, Rapid Miner, Qnet, انجام پروژهاي برنامه نويسي دلفي ، جاوا ، ويژوال بيسيك ،وي بي دانت .وي بي 6*مطلب- پي اچ پي , ، اكسس ، سي شارپ اي اس پي *پارلوگ *پرولوگ *سي *سي پلاس پلاس *مولتيمديابيلدرو....*رديابي *مکانيابي *sar* الگوريتم تطبيقي يادگيري براي رتبه بندي : با رويکرد آتاماتاي يادگير * شبکه هاي MANET براي کاربردهاي چند رسانه اي* يادگيري تقويتي براي تقسيم بار پردازشي در شبکه توزيع شده با معماري گيريد* وسايل نقليه اي با قابليت شناسايي حملات Dos *بدافزاردرشبکه عصبي *بدافزارها وشناسايي آنها*c-means*Fuzzy k-means معماري سرويس گزا*داده گرا/*soaسيسستمهاي تشخيص نفوذ*کامپيوتري هاي بيومولکولي *سيگنال هاي الكتريكي بيو مـولـكـولي مرتب سازي شبکه Sorting-Network انجام پروژه هاي تلفن گويا ، برنامه هاي ارتباطي ، پاسخگوي خودکار ، سيستم پيغام گير و برنامه نويسي تحت شبکه پروژهاي شبکه حسگرو... دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت مقاله هاي جديدومعتبرباشبيه سازي *2015*2014*2013*2012*2011*2010 پروژه خودرامتخصانشان ارائه دهيدنه به موسسات انجام پروژه چون هم نمي دانند شما چه مي خواهيدوهم هزينه براي خوددريافت مي کنند درست وبا اطمينان انتخاب کنيد همراه مستندات و توضيحات کامل ، و خط به خط دستورات و نيز نحوه ساخت و چگونگي اجراي پروژه ها، بهمراه دايکيومنت (Document) تايپ شده و آماده براي صحافي بهمراه پشتيباني بعد از تحويل پروژه بعد ازتحقيق بررسي ازچند مورد تماس با ما درمورد کلاه برداري با استفاده ازاسم گروه پايتخت تحقيق وبررسي ما آغازگرديدپس ازجستجو دراينترنت متوجه شديم اشخاصي ديگري با استفاده نام اعتبارگروه نرم افزاري پايتخت اقدام به کلاه برداري و سوه استفاده ازطريق آگهي هاي همانندآگهي هاي گروه پايتخت نموده اند بدين وسيله گروه نرم افزاري پايتخت اعلام مي داردکه اين اشخاص به هيچ عنوان جزوه گروه ما نمي باشندوتنها تلفن پاسخ گو ازطريق گروه نرم افزاري پايتخت به شماره 09191022908مهندس خسروي مي باشد www.pcporoje.com 09191022908 خسروي گروه نرم افزاري پايتخت هيچ گونه مسئوليتي را جهت بي دقتي کاربران وسوه استفاده هاي احتمالي ازآنها نمي پذيرد انجام پروژه هاي برنامه نويسي دانشجوئي براي دروس دانشگاهي : * مباني کامپيوتر * برنامه سازي پيشرفته * سيستم هاي تجاري * ساختمان داده * طراحي الگوريتم * ذخيره و بازيابي اطلاعات * نظريه زبانها و ماشين ها * هوش مصنوعي * کامپايلر * ريزپردازنده,vhdl,z80,…IVR ، 8051 * شبکه هاي کامپيوتري * گرافيک کامپيوتري * مهندسي نرم افزار * پايگاه داده *كارآفريني *كارآموزي *مباحث ويژه *معماري کامپيوتر * سيستم عاملپيشرفته *يادگيري ماشين *پردازش موازي *روش تحقيق *سمينار *پردازش سيگنال *پردازش صوت *شبيه سازي وبهينه سازي * آزمايشگاه هاي (سيستم عامل ، ريزپردازنده ، مدار منطقي ، پايگاه داده) ليست زبانهاي برنامه نويسي تخصصي ما به شرح زير مي باشد: Database: SQLServer Access php Html Java J2EE J2me Assembly Matlab برنامه نويسيموبايل NET. تحت (Pocket PC) XML, AJAX, JavaScript) Oracle Ns2 Opnet ……, همراه :09191022908 خسروي ليست پروژه هاي آماده تحت تمامي زبانهاي برنامه نويسي سيستم آرشيو اطلاعات پروژه هاي دانشجويي سفارش پروزه ازدانشگاه انگلستان يک نانوايي مي خواهد سيستم توزيع خودش را بهينه کند سفارش پروژه ازدانشگاه انگلستان نرم افزارارسال اس ام اس وايميل سفارش پروزه ازدانشگاه ترکيه شبيه سازي ميل سرورياهو سفارش پروزه ازدانشگاه آلمان سيستم ام ارپي سفارش پروزه ازدانشگاه هند فروشگاه اينترنتي سفارش پروزه ازدانشگاه مالزي کتابخانه صوتي براي لينوکس سفارش پروزه ازدانشگاه مجارستان پياده سازي همکار به همکار شبکه سفارش پروژه ازدانشگاه دبي الگوريتم fcfs سفارش پروژه ازدانشگاه فيليپين دانلودرايگان پروژه هاي دانشجويي دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت درضمن برخي ازاين پروژهاهم تحت ويندوزدرآرشيوموجوداست وهم تحت وب برنامه اسباب بازي فروشي*حملات سياه چالانه AODV *مقاله هاي جديد ومعتبرباشبيه سازي 2015*2014*20113*2012*2011 *ارسال مقاله وسمينار*نويزگيري تصوير* کاربردسيستمهايچندعاملهدريادگيريالکترونيک*وب معنايي وابزارهاي ان * تشخيص چهره روي تصوير و ويديو*حذف اثر حرکت از روي تصاوير*تخمين قدرت سيگنال در شبکه مخابراتي بي سيم و تعيين مکان بهينه براي فزستنده ها *بررسي و شبيه سازي مدل سينوسي سيگنال صحبت * بررسي و مقايسه سيستمهاي عامل بلادرنگ*بررسي پروتکل SRM در شبيه ساز NS-2*بررسي روشهاي کد کردن بردارهاي جابجايي در فشرده سازي سيگنالهاي ويد يويي*طراحي و ساخت اجزاء تکرار کننده GSM*پياده سازي کدينگ کانال Reed-Solomon بر روي سيگنال ويديو بي سيم*شناسايي چهره انسان در تصاوير رنگي*نهان نگاري تصاوير ديجيتال در حوزه ويولت* سيستمهاي ارسال ديجيتال صوت*جداسازي سيگنالهاي صوتي مخلوط شده به روش BSS* مطالعه و بررسي امضاء هاي ديجيتال*بررسي و شبيه سازي چيدمان بهينه ادوات شبکه هاي بدون سيم*بررسي الگوريتمهاي نهان نگاري تصوير و پياده سازي آنها*سيستم اتاق عمل *بررسي روشهاي مختلف حذف نويز در سيگنالهاي ديجيتال*تحليل روشهاي فضا- زمان در سيستمهاي مخابرات بي سيم*نهان نگاري صوتي*نهان نگاري تصاوير ديجيتال با استفاده از تبديل موجک *روشهاي تکراري براي جبران اعوجاج ناشي از درونيابي *MAC جهت دار در شبکه هاي بي سيم ad hoc * Taxonomy and Survey of Cloud Computing Systemscloud *storager*محاسبات ابري opnetشبيه سازي شبکه با استفاده از WIP** روشهاي حفاظت از اطلاعات در فرآيند انتقال و دريافت مقايسه بانك هاي اطلاعاتي اسكيوال واوراكل * امنيت ATM- پايگاه داده توزيع شده سيستم مرسولات پستي اداره پست به کمک معماري سرويس گرا و تکنيک model_driven engineering شبيه سازي ns2 *تشخيص چهره انسان به روش تحليل تفکيکي خطي دو بعدي( 2D-LDA به همراه مقاله *تشخيص حرکت از طريق ورودي دوربين يا وبکم* تشخيص کارکتر و عدد در تصوير OCR* تشخيص عدد فارسي در تصوير (به همراه آموزش فارسي)* تشخيص حروف فارسي در تصوير به روش تطبيق الگو* تشخيص حروف فارسي در تصوير به روش شبکه عصبي* شبيه سازي مدولاسيون پالسهاي كدشده PCM* شبيه سازي و بررسي انواع اتصال کوتاه در ژنراتور* شبيه سازي ورقه کردن فلز* شبيه سازي بازوي ربات (به همراه مقاله)* ترميم تصوير Image *طراحي مدارهاي *ابرکامپيوترها*داده هاي با حجم بسياربالا inpainting* ترميم ويدئو Video inpainting** برنامه تشخيص بارکد (پردازش تصوير) اتحاديهخريدكارمندانوخريدكالاهايمشابهبهافراد*بررسي مکانيزم احرازهويت *fcfs*الگوريتم کاهش نويز در تصويرNoise Canceling*بررسي کليه توابع توزيع در متلبDistributions functions* پياده سازي روش گوشه شمال غربي *North-West Corner Method* برنامه تبديل اتوماتيک کد فرترن به متلب بهينه سازي تنش در تراس *پنهان‌نگاريتصاوير يا Steganography با متلب*• بدست آوردن پروفايل دما در سطح مقطع steak در زمان هاي مختلف بعد از قرار گرفتن در ظرف روغن شبيه سازي راکتور batch (ناپيوسته) و رسم نمودار غلظت ها* يكسوساز سه فاز تريستوري با *پروژه يادگيري ماشين يا تشخيص جنسيت زن مرد *machine learning**• تشخيص لبه تصوير توسط الگوريتم کلوني مورچه ها ACO (به همراه مقاله) پردازشتصويرWavelet بهبود مدل کاربر در وب¬سايت بصورت خودکار با استفاده ازمعناشناسي با مفاهيم خاص دامنه*پروژه هاي مهندسي معكوس *طراحي سايت b2b تشخيص هويت افراد با استفاد شناساي كف دست *نظرسنجي *الگوريتم پنتيک چندهدفه * • محاسبه جريان درون لوله و عدد رينولدز به کمک روابط سوامي و جين و دارسي-ويسباخ • شبيه سازي کنترل مقاوم عصب* تحليگرلغوي*چندضلعي *جدول متقاطع * فرستادن ايميل *شبيه سازي پروتکل مسيريابي شبکه حسگر بي سيم باآپ نت پروژه هاي تشخيص هويت :عنبه *اثرانگشت *تشخيص چهره به چهره *كف دست * الگوريتم هاي خوشه بندي در شبکه هاي حسگر موبايلعنوان* امضاي ديجيتال**امنيت اطلاعات * بررسي امنيت شبکه در مقوله پدافند غير عامل * بيومتريک (Biometric)*الگوريتم زنبورعسل *دنباله کاوي *شناسايي خط *شناسايي صورت *بينايي ماشين*هوش مصنوعي دربازي *وب معنايي*آنتولوژي *فشرده سازي تصوير*پردازش صوت * امنيت درپايگاه توزيع شده*فايل هاي ويرانگر - - - سيستم فروش و صورتحساب- سيستم حضورغياب با اثر انگشت - سيستم صندوق رستوراني و فروشگاهي با سخت افزار و نرم افزار POS گروه مهندسي پايتخت - انجام پروژه هاي دانشجويي شما با قيمتي مناسب پذيرش سفارش پروژه داخل وخارج ازکشور هرگونه کپي برداري ازآگهي غيرمجازمي باشد جهت سفارش پروژه تماس بگيريد ازديگرپروژهاي ماديدبفرماييد www.pcporoje.com http://tezcomputer.com http://tezcomputercom.blogfa.com مهندس خسروي 09191022908 جهت سفارش پروژه يا نياز به هرگونه اطلاع رساني فقط با ايميل زير با مادر تماس باشيد infoporoje.net@gmail.com
          Big Data Digest: How many Hadoops do we need?   
Say hello to Flink, the newest distributed data analysis engine on the scene.
          Hadoop successor sparks a data analysis evolution   
If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.
          Big Data Digest: Rise of the think-bots   
It turns out that a vital missing ingredient in the long-sought after goal of getting machines to think like humans -- artificial intelligence -- has been lots and lots of data.
          Big Data Developer - Intelligent Solutions - JP Morgan Chase - New York, NY   
Experience with machine learning is preferred. Knowledge of industry leading Business Intelligence tools. Consistently evaluates decisions in terms of impact to...
From JPMorgan Chase - Tue, 09 May 2017 10:34:19 GMT - View all New York, NY jobs
          Senior Manager – Big Data Engineering - Capital Markets Placement - New York, NY   
We’re looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a...
From CMP.jobs - Mon, 01 May 2017 09:22:09 GMT - View all New York, NY jobs
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Revisa la totalidad de requisitos publicados en el perfil y valida que cumplas con los mismos. Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Η αέναος σχέση του καρκίνου με τη ζωή   
Σπύρος Μανουσέλης


Η εμφάνιση των «αποσυνάγωγων κυττάρων» του καρκίνου και η ανάπτυξη νεοπλασιών σε διάφορους ανθρώπινους ιστούς φαίνεται να είναι εντελώς άναρχη και χαοτική.

Στην πραγματικότητα όμως η σύγχρονη ογκολογία διαπιστώνει καθημερινά ότι υπάρχουν κάποια εγγενή βιολογικά όρια και συγκεκριμένες αναπαραγωγικές δυναμικές που προκαθορίζουν τη φαινομενικά άναρχη αναπαραγωγή των καρκινικών κυττάρων.

Μια ιδιοτελής δυναμική επιβίωσης των μεταλλαγμένων κυττάρων που, μολονότι είναι καταστροφική για τον οργανισμό, ακολουθεί κάποια προδιαγεγραμμένα και άρα δυνητικά προβλέψιμα εξελικτικά πρότυπα. 

Υπο μια αυστηρά βιολογική-εξελικτική αλλά και αμιγώς ιατρική έννοια ο καρκίνος είναι όχι μόνο η απορρύθμιση της ζωής ενός οργανισμού, αλλά και η συνέπεια της βιολογικής του εξέλιξης.

Αυτή τη συγκλονιστική ιδέα αλλά και τις νέες θεραπευτικές δυνατότητες που αυτή ανοίγει παρουσίασαν με τις εισηγήσεις τους οι πολυάριθμοι ξένοι και Ελληνες ειδικοί, οι οποίοι συμμετέχουν στο διεθνές συνέδριο που ξεκίνησε πριν από δύο ημέρες στη Θεσσαλονίκη.

Για όλα αυτά θα μιλήσουμε σήμερα με τον Ιωάννη Μπουκοβίνα, πρόεδρο της Εταιρείας Ογκολόγων-Παθολόγων Ελλάδας (ΕΟΠΕ) και της οργανωτικής επιτροπής αυτού του πρωτοποριακού συνεδρίου.


Συνήθως στα ιατρικά συνέδρια και ειδικότερα σε αυτά της ογκολογίας περιμένει κανείς να ακούσει -σε μια γλώσσα ακατάληπτη για τον μη ειδικό ακροατή- για τις τελευταίες διαγνωστικές και θεραπευτικές εξελίξεις στην αντιμετώπιση του καρκίνου.

Στο συνέδριο, που ολοκληρώνεται σήμερα στη Θεσσαλονίκη, δεν συνέβη αυτό!

Οι περισσότερες εισηγήσεις στόχευαν στην ανίχνευση ενός νέου και, εν πολλοίς, αχαρτογράφητου γνωστικού πεδίου, το οποίο αναζητά τα αίτια της ανάδυσης θανατηφόρων παθήσεων στους βιολογικούς μηχανισμούς που επινοήθηκαν από την εξέλιξη για να συντηρούν τη ζωή.

Ετσι εξηγείται το γιατί η οργανωτική επιτροπή του συνεδρίου, που αποτελείται από τέσσερις διακεκριμένους Ελληνες ιατρούς, τον Π. Κοσμίδη, τον Ι. Μπουκοβίνα, τον Γ. Σαμώνη και τον O. Ζώρα, φρόντισε να προσκαλέσει όχι μόνο καταξιωμένους ιατρούς αλλά ειδικούς από διάφορα γνωστικά πεδία.

Ομως για το σκεπτικό και τους στόχους αυτού του φιλόδοξου συνεδρίου θα ήταν καλύτερα να μας μιλήσει ένας από τους εμπνευστές του, ο Ιωάννης Μπουκοβίνας.

● Απ’ όσο γνωρίζουμε ο καρκίνος είναι μια ακραία παθολογική κατάσταση του οργανισμού, γνωστή στην Ιατρική από την αρχαιότητα. Στο πέρασμα των αιώνων έχει αυξηθεί σημαντικά η ιατρική κατανόηση τόσο των παθογόνων αιτιών όσο και της δυναμικής αυτής της θανατηφόρου νόσου. Γιατί λοιπόν τόσο συχνά αυτή η βαθύτερη επιστημονική κατανόηση δεν μεταφράζεται σε αποτελεσματικές θεραπείες; 

Οι τελευταίες στατιστικές μελέτες δείχνουν πόσο μακριά είμαστε από μια νίκη εναντίον του καρκίνου.

Στις ΗΠΑ ο κίνδυνος ανάπτυξης καρκίνου στη διάρκεια της ζωής ενός άντρα είναι 42% και μίας γυναίκας 38%, σύμφωνα με την American Cancer Society.

Στο Ηνωμένο Βασίλειο, σύμφωνα με το Cancer Research UK, εκτιμάτε ότι το 54% των αντρών και το 48% των γυναικών θα νοσήσουν από καρκίνο σε κάποια στιγμή της ζωής τους.

Και οι περιπτώσεις αυξάνονται κατά 3% κάθε χρόνο. Μπορεί βέβαια όλοι οι καταληκτικοί στόχοι μέτρησης της αποτελεσματικότητας μιας θεραπείας όσον αφορά την επιβίωση ασθενών με καρκίνο να έχουν αυξηθεί θεαματικά στις ΗΠΑ και η θνησιμότητα να έχει μειωθεί κατά 25% τις τελευταίες δύο δεκαετίες, εν τούτοις η εκατόμβη των θυμάτων από καρκίνο παραμένει πολύ υψηλή, ανάλογα πάντα με τον τύπο του καρκίνου.

Η εισαγωγή της ανοσοθεραπείας και των στοχευουσών θεραπειών τετραπλασίασε την επιβίωση στον καρκίνο του πνεύμονα, στο μελάνωμα βλέπουμε το 20% των ασθενών να ζουν πέντε και πλέον χρόνια, κάτι που μέχρι πρόσφατα αποτελούσε όνειρο θερινής νυχτός, διάφορες μορφές λευχαιμίας θεραπεύονται οριστικά, ασθενείς με στρωματικούς όγκους του γαστρεντερικού ζουν δέκα και πλέον έτη.

Από την άλλη πλευρά υπάρχουν όγκοι, όπως το μικροκυτταρικό καρκίνωμα πνεύμονα, το γλοιοβλάστωμα εγκεφάλου, διάφορα σαρκώματα, διάφοροι άλλοι σπάνιοι όγκοι στους οποίους δεν έχει γίνει σημαντική πρόοδος.

Υπάρχουν διάφορα εγγενώς βιολογικά εμπόδια στη βελτίωση των θεραπειών, που επιβαρύνονται από τις χρόνιες αδυναμίες του θεραπευτικού μας συστήματος, όπως η έλλειψη προγραμμάτων πρόληψης και παρεμβάσεων στον τρόπο που ζούμε (κάπνισμα, παχυσαρκία), στον ιδιοτελή τρόπο λειτουργίας ομάδας ιατρών και βασικών επιστημόνων, στην αδυναμία ευρύτερης εφαρμογής των νέων τεχνολογιών (λόγω υψηλού κόστους και έλλειψης υποδομών), στον περιορισμό των οικονομικών πόρων για τη βασική έρευνα και στην ιδιοτέλεια ορισμένων ερευνητών που παρεμποδίζουν τη διάχυση της πληροφορίας κ.λπ.

Ετσι, η μονοδιάστατη αντιμετώπιση του καρκινικού κυττάρου, το οποίο θεωρείται απομονωμένο από το υπόλοιπο εσωτερικό και εξωτερικό περιβάλλον, βαφτίζοντάς το ανάλογα με το γονίδιο που εμπλέκεται (π.χ. BRCA θετικό, EGFR μεταλλαγμένο, BRAF μεταλλαγμένο) και αντιμετωπίζοντάς το ως έχει, καταφέρνει μεν να βελτιώσει το προσδόκιμο ή την ποιότητα ζωής του οργανισμού, δεν οδηγεί όμως στην πλήρη εξάλειψη του καρκίνου.

Στα παραπάνω θα πρέπει να συνυπολογίσουμε και την ετερογένεια του όγκου: όλα τα κύτταρά του δεν είναι γενετικά ίδια μεταξύ τους.

Οταν κάποια από αυτά πιεστούν -από τα φάρμακα ή από τους ανοσολογικούς μηχανισμούς μας- η εξέλιξη της νόσου ευνοεί την ανάπτυξη πιο επιθετικών καρκινικών κυττάρων.

Οι όγκοι δεν αναπτύσσονται γραμμικά αλλά μέσω εξελικτικών μηχανισμών κλαδοποίησης ( branched), οι οποίοι δημιουργούν την αρμοστικότητα (fitness) των καρκινικών κυττάρων που επιβιώνουν στη θεραπευτική αγωγή και τελικά υπερισχύσουν του κλινικού γιατρού.

Φανταστείτε τον καρκίνο σαν ένα ζωντανό δέντρο με πολλά ανόμοια μεταξύ τους κλωνάρια και το γεγονός ότι οι όγκοι αλλάζουν τόσο συχνά το «γενετικό τους makeup» είναι ένας από τους βασικούς λόγους για τους οποίους ο καρκίνος είναι τόσο σκληρός αντίπαλος.

Επίσης, όπως επιβεβαιώνεται από τη μοριακή ανάλυση, ο καρκίνος μπορεί να αναπτύσσει μηχανισμούς απόκρυψης, για να ξεφεύγει από την επιτήρηση του ανοσολογικού μας συστήματος.

Και όταν δεν αναγνωρίζεις τον εχθρό σου, δεν μπορείς να τον αντιμετωπίσεις! Για να συνδέσω την ποιητική τέχνη του Οδυσσέα Ελύτη με την επιστήμη μας: «ήλθαν ντυμένοι "φίλοι" αμέτρητες φορές οι εχθροί μου το παμπάλαιο χώμα πατώντας» (Τα πάθη , ανάγνωσμα δεύτερο Οι ημιονηγοί - ΑΞΙΟΝ ΕΣΤΙ).

Μπορεί να αρχίσαμε να τον ξεμασκαρεύουμε με τη νέα αντίληψη περί ανοσοθεραπείας, όμως ακόμη δεν έχουμε ταυτοποιήσει κλινικά ή εργαστηριακά τις υπο-ομάδες ασθενών που θα ωφεληθούν τα μέγιστα από αυτές τις θεραπείες.

Και αυτό οδηγεί δυστυχώς σε σπατάλη πόρων και ζωών.


● Απ' ό,τι φαίνεται, οι κυτταρικοί παράγοντες που ευθύνονται για τις πολύμορφες εκδηλώσεις και τη μεγάλη επιθετικότητα της νόσου είναι «ζωντανοί» και εξελίσσονται διαρκώς, για να παρακάμψουν τις ιατρικές θεραπείες που επινοούμε για να τους εξαλείψουμε. Επομένως πόσο αποτελεσματικές ή κατάλληλες μπορούν να θεωρηθούν οι σύγχρονες υπερτεχνολογικές θεραπευτικές πρακτικές; 

Χάρις στα επιτεύγματα της τεχνολογίας («sequencing») και της τεράστιας συλλογής πληροφοριών από δείγματα ιστού και κλινικά δεδομένα (Big Data) οι επιστήμονες συναρμολογούν σιγά σιγά τα κομμάτια του παζλ της εξέλιξης του καρκίνου, αποκαλύπτουν τις βιολογικές ρίζες της αντίστασης και σε κάποιες περιπτώσεις μαθαίνουν πώς να τις υπερπηδούν.

Ομως, παρά το διαρκώς αυξανόμενο οπλοστάσιο θεραπειών, οι σύγχρονοι ογκολόγοι συνειδητοποιούν ότι όπως ακριβώς ο καρκίνος εξελίσσεται διαρκώς, το ίδιο οφείλουμε να κάνουμε και εμείς. Είμαστε «κολλημένοι» στο «όσο μικρότερος ο όγκος τόσο καλύτερα».

Αυτό που δεν σκεφτόμαστε όμως είναι τι αφήνουμε πίσω και συχνά αφήνουμε ανθεκτικούς κλώνους, τους οποίους είναι δύσκολο να τους αντιμετωπίσεις κατόπιν.

Στοχεύοντας ωστόσο πολλαπλές μεταλλάξεις ταυτόχρονα με συνδυασμούς μοντέρνων θεραπειών, υπάρχει η πιθανότητα να εξολοθρεύσεις τον καρκίνο.

Οι ευκαιρίες για ένα καρκινικό κύτταρο να αποφύγει δύο ή τρεις συντονισμένες επιθέσεις είναι πολύ λίγες.

Αυτό εφαρμόστηκε στο μελάνωμα με συνδυασμούς είτε στοχευουσών θεραπειών σε διαφορετικούς σταθμούς της καρκινογένεσης είτε με συνδυασμούς ανοσοθεραπείας και τα αποτελέσματα ήταν σαφώς καλύτερα (Βλ. Bozic, I.et al.eLife2,e00747, 2013).

Σε μια άλλη έρευνα χρειάστηκε και πάλι να συλλεχθούν γενετικά και κλινικά δεδομένα από το Cancer Genome Atlas για πολλούς ασθενείς με καρκίνο του πνεύμονα και έτσι διαπίστωσαν ότι όσο περισσότερα αντιγόνα καρκίνου έχουμε στον κορμό του καρκίνου σε σχέση με τα αντιγόνα των κλαδιών του, τόσο καλύτερα ανταποκρίνονται στην ανοσοθεραπεία (Βλ. McGranahan,N.et al. Science 351,1463–1469, 2016)).

Οι νέες δυνατότητες τεχνολογικής διείσδυσης στο εσωτερικό των καρκινικών κυττάρων μάς φέρνουν όλο και πιο κοντά στην επινόηση αποτελεσματικότερων στρατηγικών για την εξάλειψή τους.

Το απογοητευτικό θα ήταν να εξακολουθήσουμε να παραβλέπουμε ή να αγνοούμε τι πραγματικά συμβαίνει.


● Μέχρι πριν από λίγες δεκαετίες η κατανόηση και η θεραπεία του καρκίνου είχε αφεθεί αποκλειστικά στους γιατρούς. Τα τελευταία χρόνια όμως η εγγενής πολυπλοκότητα αυτής της νόσου επέβαλε την εμπλοκή πολλών άλλων επιστημονικών κλάδων: από τη μοριακή βιολογία και τη γενετική μέχρι την υπολογιστική βιοϊατρική, τη θεραπευτική ψυχολογία και τη βιοηθική. Ποια θεωρείτε ότι είναι τα άμεσα θεραπευτικά οφέλη και ποιες οι δυσχέρειες ή τα προβλήματα από αυτή τη πολυ-επιστημονική και διεπιστημονική προσέγγιση; 

Τα οφέλη είναι τόσο μεγάλα που θέλω να πιστεύω ότι τα εμπόδια και τα προβλήματα θα ξεπεραστούν τελικά από τη συντονισμένη δράση όλων των εμπλεκομένων.

Αν μάλιστα, στην πολυ-επιστημονική προσέγγιση προστεθεί και ο «εποικισμός» των θετικών επιστημών από τις ανθρωπιστικές σπουδές, τότε, στην εποχή της παγκόσμιας επικοινωνίας, δημιουργούνται οι προϋποθέσεις για μια ενδιαφέρουσα, παραγωγικότερη και αποτελεσματικότερη αντιμετώπιση του καρκίνου.

Για τις επόμενες δεκαετίες οι μείζονες τεχνολογικές εξελίξεις θα προέλθουν πιθανότατα από αυτό που συνήθως περιγράφεται ως «BNR»: Βιοτεχνολογία (B), Νανοτεχνολογία (N) και Ρομποτική (R).

Ηδη σήμερα χρησιμοποιούνται ορισμένες από αυτές τις τεχνολογίες στην αντιμετώπιση του καρκίνου, π.χ. στη σύνθεση νέων φαρμάκων, στη χειρουργική, στην αποκρυπτογράφηση του γονιδιώματος του καρκίνου.

Οσο για την πολυπόθητη σύγκλιση των φυσικών επιστημών με τις ανθρωπιστικές σπουδές, αυτή θα συμβάλει αναμφίβολα στην κατανόηση του έπους του έμβιου όντος καθώς και στην ικανότητα της Ιατρικής να αντιμετωπίζει εξατομικευμένα τις παθολογίες που εκμεταλλεύονται τους μηχανισμούς προσαρμογής και εξέλιξης του σώματός μας.

● Αρχίζουμε να κατανοούμε τους λόγους που αποφασίσατε φέτος να οργανώσετε ένα διεθνές συνέδριο με τίτλο: «Εξέλιξη & Καρκίνος: καρκίνος και ζωή μια αέναος σχέση». Πώς όμως η εξελικτική σκέψη και ειδικότερα η εξελικτική επιστήμη μπορεί να συμβάλει στην κατανόηση ή και στη θεραπεία του καρκίνου; 

Το ερώτημά σας είναι καίριο. Ο τίτλος και οι θεματικές ενότητες του συνεδρίου υποδηλώνουν σαφώς και διαφωτίζουν το γεγονός ότι η ζωή και ο καρκίνος συνυπάρχουν από καταβολής του ανθρώπου.

Τα μέλη της οργανωτικής επιτροπής του 2ου Συνεδρίου αποφασίσαμε να διερευνήσουμε φέτος αυτή τη θεμελιώδη παραδοχή: τόσο η ζωή όσο και ο καρκίνος ανταγωνίζονται για την κατάκτηση της «αθανασίας» δημιουργώντας τους αντίστοιχους μηχανισμούς είτε εξέλιξης, είτε ανάπτυξης, είτε δημιουργίας.

Ομως σε αυτή την ανταγωνιστική διαδικασία δεν είναι μόνοι τους, αλλά αποτελούν μέρος της κοινωνίας και του σύμπαντος.

Αλλάζει η κοινωνία, εξελίσσεται ο τρόπος που βλέπει μια νέα κατάσταση -ανάπτυξη ψυχοογκολογίας, παρηγορητικής αγωγής, θέσπιση νέων νόμων, συμμετοχή της κοινωνίας των πολιτών.

Εξελίσσεται η βιολογική κατανόηση του ανθρώπινου και του καρκινικού γονιδιώματος, αναπτύσσονται νέα φάρμακα, νέες στρατηγικές, νέα τεχνολογία.

Και όπως οι πιο πολύπλοκες μορφές κοινωνικής οργάνωσης δημιουργούνται από υψηλά επίπεδα συνεργασίας, το ίδιο συμβαίνει και στη δυαδική σχέση ανθρώπου και καρκίνου.

Ο στόχος είναι να κατανοήσουμε ποια χαρακτηριστικά της νόσου καθορίζονται ή εξαρτώνται από τα γονίδια.

Αρα οι πνευματικές μας αδυναμίες μπορούν να επαναπροσδιοριστούν μέσα από επιστημονικές εξηγήσεις, π.χ. η αντιμετώπιση του αδενοκαρκινώματος του πνεύμονα σε γυναίκες μη καπνίστριες με την ανακάλυψη του μονοπατιού του EGFR, η διαχείριση των ασθενών με BRCA θετικό καρκίνο.

Για να δοθούν ωστόσο πληρέστερες απαντήσεις πρέπει να διερευνηθούν με ενιαίο τρόπο τόσο η βιολογική όσο και η πολιτισμική εξέλιξη. Γι’ αυτό και στο συνέδριό μας, που τελεί υπό την ευλογία του Πατριάρχη, συμμετέχουν ομιλητές από τον χώρο της Ιατρικής, της Βιολογίας, της τέχνης, της Θεολογίας, της Νομικής, της Βιοηθικής, των ασθενών.

Πηγή: efsyn.gr



Η Σφήκα: Επιλογές





          How can you fix your tech skills gap?   

How can you fix your tech skills gap?

… talent isn’t trained in areas that are increasingly most pertinent—including analytics, big data, cloud computing, machine learning and the like. [Link to Full Article]

          Staff Engineer, R&D Test Engineering Job - SanDisk - Milpitas, CA   
From mobile devices to hyperscale data centers, SanDisk storage solutions make the incredible possible. Hadoop big data database management and scripting in...
From SanDisk - Sat, 06 May 2017 05:16:29 GMT - View all Milpitas, CA jobs
          Sr. IT Architect - Data Architecture - Manulife Financial - Ontario   
Experience with the development of IT Architecture on multiple major solutions using modern technology platforms (Cloud, Big Data, Decision/Analytic Engines,...
From Manulife Financial - Tue, 13 Jun 2017 18:41:29 GMT - View all Ontario jobs
          Senior Technical Pre-Sales Consultant - Dell - Toronto, ON   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Mon, 15 May 2017 18:02:28 GMT - View all Toronto, ON jobs
          Senior Pre-Sales Technical Consultant - Dell - Montréal, QC   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Fri, 16 Jun 2017 20:39:48 GMT - View all Montréal, QC jobs
          Hadoop Big Data Usability Tools and Methods (Mind Q Online)   
On the subject of massive data analytics, usability is simply as crucial as performance. Right here are three key factors to building usable big data applications.
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Create and distribute customer surveys. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Driving Innovation and Profitability with Modern Cloud Infrastructure in the New Digital Economy   

Companies are recognizing that getting real-time insights from their own data is key to building and maintaining their competitive advantage. Those insights enable companies to make better business decisions, and to quickly develop products and services that meet the changing needs of customers. In his recent blog post on “Spreading the Wealth of Data Capitalism,” Paul Sonderegger, Oracle Big Data Strategist, noted that, “getting the data you want into the shape you need for the task at hand, is an imperative for any company creating new digital products and services.”
 
The challenge enterprises are now facing is how to digitally transform their businesses to support these capabilities and be competitive in the new data capital economy. Just about everything we do, read, eat, and shop for has been transformed by the internet. And there are no signs of this slowing down. Enterprises are also being challenged while trying to move away from using complex, legacy systems on their journey to embrace the cloud as a key enabler to transform their businesses. How can they achieve both goals?

Data Capital as a Company’s Most Valuable Asset

The Fortune 100 used to be dominated by companies that were heavy in physical assets. Today, the majority of the assets belonging to some of the fastest-growing enterprises are intangible.
 
“For most companies, data is their single biggest asset,” notes financial economist Andrew Lo, who is the Charles E. and Susan T. Harris Professor of Finance at the MIT Sloan School of Management and director of the MIT Laboratory for Financial Engineering. But, he points out: "Many CEOs in the Fortune 500 don’t fully appreciate this fact.”

Since the value of data is so high, it follows that companies with the best methods for managing data will more successfully use it to achieve their goals. But this is easier said than done, because the technology environments in many companies are growing antiquated in the new cloud economy or have grown more complex over time.
 

How Did Data Management Get So Complicated?

In the early computer days, business processes were simple and slow. The internet came on the scene, and we started to appreciate the power of connecting computers together, and the amount of data needed to be processed for decision-making grew exponentially. Most of the data handled by early IT systems was related to finance. Over time, additional functional areas demanded access to data as well, including marketing, sales, operations, purchasing, and HR. IT infrastructure was built in siloes for each department, and integration of the infrastructure systems was either non-existent or done by means of a slow, painstaking process.
 
Integrating and analyzing data across these heterogeneous systems and across departments to drive business decisions occurred in annual or quarterly business cycles. Today, businesses making decisions this slowly will be swiftly outpaced by their competitors.
 
Adding a new on-premises system or integrating existing systems to provide better access to data may take a team of IT specialists—in storage, networking, virtualization, and compute—months to complete.
 
Most data centers that support legacy on-premises systems are built to handle generic workloads; they are not optimized to work with any particular type of database or specific application workload.

Lighting a Fire Under Enterprise Computing

Enhancements in system architecture, application development, and integration need to occur at a much faster pace than they often do today. This can only happen in an environment which is designed to be more nimble and agile. Infrastructure solutions need to be re-imagined as a set of services that are easy to use and buy, instead of continuing to follow the now-outdated model of massive IT projects that last months or years.
 
Oracle’s recent headway in the cloud has made this a reality.

Engineered Systems to Optimize the Cloud for Your Enterprise

Oracle engineered systems are purpose-built for Oracle Database and applications, unlike servers that are built for generic workloads. Oracle engineered systems have been optimized and co-engineered with Oracle teams to maximize performance for your most demanding data workloads. What this means is that a reliable and high-performing infrastructure can enable organizations like CERN—one of the largest creators of data in the world—to confidently capture and analyze the hundreds of terabytes of data they create per day.
 
This foundation can only be achieved with infrastructure that was designed with data and the cloud in mind.

Oracle offers cloud-based engineered systems that exactly mirror on-premises systems, so organizations can make a seamless move to the cloud and build a modern cloud infrastructure. If you’re already using Oracle Database, you can readily transfer all that data capital to the cloud.
 
The alternative to engineered systems is “Do-It-Yourself” (DIY) infrastructures using generic server and storage solutions. The cost of these long-term DIY projects is very high compared to engineered systems, as maintaining and updating DIY systems is complex and costly, not to mention the rack space, power, and cooling costs. Engineered systems, on the other hand, include streamlined support and periodic upgrades.
 
By consolidating six databases to Oracle Exadata and connecting other enterprise applications to a private cloud via Oracle SOA Suite, DCM Holdings gained the ability to analyze sales data 50% faster while lowering IT operating costs by 40%. “We chose Oracle because we gained a single point of contact and resolution for all the components, including databases, hardware, middleware, and the operating system,” said Akio Ishii, department manager, systems development department, systems division. “This enabled us to rapidly resolve issues instead of passing problems from one contact to another in a multi-vendor environment.”
 
Once your data is in a modern cloud infrastructure, the business benefits become clear:

  • Fast implementation—no more huge teams working to build infrastructure
  • Seamless data integration from heterogeneous sources
  • Erosion of data siloes—data will be fully integrated
  • Real-time access to data
  • Easily scalable data storage capacity—no need to build new data centers
  • The ability to move to the cloud when the organization is ready, with no downtime or forklift upgrade
Driving Growth and Profitability with Modern Cloud Infrastructure


Improved access to integrated data from a modern cloud infrastructure provides enterprises with insights to make better business decisions. These decisions can drive incremental revenue
from new or refined products and services targeted toward changing customer needs. Cost savings can be realized by analyzing operations and manufacturing processes. The combination of revenue growth and expense reduction drives profitability measurably higher.
 
IDC recently interviewed eight organizations about their use of engineered systems—namely, Oracle Exadata Database Machines. The firm estimates that these users earn $222,000 more in revenue per 100 users by providing employees with the data, information, analytics, and performance they need to meet customer demand.
 
As Erik Brynjolfsson and colleagues at MIT and the University of Pennsylvania concluded in a 2011 study, "Collectively, our results suggest that DDD [data-driven decision making] capabilities can be modeled as intangible assets which are valued by investors and which increase output and profitability."

To learn more about how your company can flourish in the Data Capital Economy, read the MIT and Oracle collaboration on the Rise of Data Capital.


          New Ways to Leverage Data to Drive Business Value   

No longer the exclusive domain of tech companies or IT departments, data has become a business driver in a just about every industry and line of business. Data drives business value in two ways: It grows top-line revenue as companies create innovative new products and services — even entirely new business models. And it increases bottom-line profitability — not just by streamlining processes, but also by automating the management of assets and end-to-end supply chain through the Internet of Things (IoT). As Gartner’s Andrew White stated in a recent blog post:
 
"Data and analytics is not about a dashboard or delivery of an analytic to the point of a decision! That is so yesterday. Data and analytics is more about reimaging the decision in the context of an outcome.”
 
To look at it another way, data has become currency, and businesses are finding innovative ways to monetize it. In fact, BCG estimates that big data and advanced analytics could unlock more than $1 trillion in value annually by 2020.

Using Data to Drive Top-Line Revenue

Perhaps the most visible way that data can drive revenue is in the data-driven disruptors that have risen since the dawn of the internet, from Amazon to Uber and beyond. These companies use data to create new business models that have reshaped their industries.
 
But data doesn’t have to mean disruption. It can be leveraged by any company to target customers more accurately, gain a clearer understanding of the customer journey, and enhance the customer experience. None of these approaches are likely to upend an industry, but the better a company can process customer data the greater an edge it can gain over competitors; whether tracking online activities or using location-tracking to better anticipate and meet customer needs.
 
In addition, many companies are offering data as a service, or layering additional services on top of their data as a value-add. Even traditional manufacturers are differentiating their products with enriched data and analytics, a practice that Barbara H. Wixom and Jeanne W. Ross, principal research scientists at the MIT Center for Information Systems Research, call “wrapping information around core products and services.”
 
My colleague Anant Kadiyala, Director of Industry and IoT Solutions at Oracle, highlights an additional nuance in the data/revenue equation, arguing that alongside the B2C solutions above, companies must also deploy data in a B2E (business-to-employee) model as well, in order to align employees and business processes to enhance customer engagement. To cite just one example: data-rich employee dashboards that permit rapid and efficient escalation of customer-side issues in real time.

Leveraging Data to Improve Bottom-Line Profitability

The second way in which data can drive business is by improving operational efficiencies to impact profitability. We’ve seen this for years now as companies automate business processes. However IoT has added an entirely new dimension to automation, with more to come. Consider the robotics that dominate industries such as auto manufacturing: As sensors proliferate and the computing power to analyze large volumes of data becomes more affordable, these same robots will become more intelligent, with the ability to self-align and self-predict rather than merely respond to a program.
 
We’re already seeing some aspects of this, for example, with Oracle’s Digital Field Service, which combines IoT, real-time predictive analytics, mobile scheduling and routing to manage the service lifecycle of equipment. The system can predict, for instance, when a piece of equipment is likely to fail, and schedule a maintenance visit before failure occurs. Short of failure, it can offer guided assistance in resolving critical issues remotely.
 
Data can also squeeze efficiency from one end of the supply chain to the other. We’ve already seen connected supply chains that can place orders automatically based on point-of-sale data. But with more data comes greater efficiency. Imagine, for example, a tomato farm. When it’s time to harvest, farmers may traditionally pick as much as they can to fill a truck. Built into this process is the cost that a portion of the harvest that may go bad during transport. Now, however, they can instrument the trucks, and analyze humidity, weather, and fuel use to the point where farmers will know exactly when to stop loading trucks in order to minimize waste and assure the highest product quality upon delivery.

The Monetization of Data: What Are the Implications?

Given its ability to drive both revenue and profitability, data is clearly valuable. But exactly how valuable remains a point of significant debate. As Dante Disparte and Daniel Wagner note in the Harvard Business Review, “definitions for what constitutes EvD (Enterprise Value of Data), and methodologies to calculate its value, remain in their infancy…Many attempts to do so have proven to be flawed—even for some of the largest and best known firms in the world.”
 
As the authors point out, this ambiguity has consequences when it comes to assessing and managing risk, but perhaps the more salient question is how to protect valuable data, preserve its integrity, comply with regulatory requirements, and preserve the privacy of customers. Any data solution that an organization adopts will have to ensure continuous, end-to-end security.
 
Data monetization is an imperative for any business hoping to thrive in the Data Capital Economy. Organizations can deploy their data assets in two broad strategies: driving top-line revenue growth and growing bottom-line profitability. The key to both approaches is protecting data as the valuable asset it has become. Investing in best-in-class data collection and analysis not only offers returns measured in higher revenue and greater operational efficiency. Data also appreciates in value when properly “banked” for future analysis in ways we can only begin to imagine.

To learn more about how your company can flourish in the Data Capital Economy, read the MIT and Oracle collaboration on the Rise of Data Capital.


          3 Key Pillars of the Modern Enterprise   

What runs the modern enterprise?

“It’s not what you know. It’s what you do with what you know.”

So says Daniel Newman in a January 2017 Forbes article. This pretty well sums up the quest for the modern enterprise to use all the data available to drive increased productivity, reduced costs, business innovation, and personalized customer experiences.

Businesses that do invest in developing big data capabilities are finally starting to see results. In fact, Randy Bean at Harvard Business Review reports that, for the first time since he began surveying Fortune 1000 companies in 2012, almost half now say their businesses are “achieving measurable results from their big data investments.” Where are they finding value in big data?

  • Almost 50% have decreased expenses.
  • Almost 45% have found new innovation avenues.
  • Just over 36% have launched new products and/or services.
Business Must Move Fast

To capitalize on big data, businesses can’t take their time analyzing it; they can’t bring in consultants or experts, run reports, consolidate the data for six to nine months, and then make a business decision. The business will die. To keep the business not just alive, but growing, it’s imperative to make decisions in real time.
 
Doing this requires three components, or pillars: data, users, and applications.

Building the Modern Mobile Enterprise: 3 Key Pillars

The first of these three components is data, and this is the foundation of the other two.
 
Data

Data is produced by activity. Every time an employee or a customer completes some activity, there’s the potential to collect information about that activity. If that data is collected, it can be used to mitigate risk, modify and improve business processes, respond to customers faster, or create new products and services to meet a need.
 
With the growing use of the Internet of Things (IoT), machine learning, artificial intelligence, predictive analytics, and more, the collection of data creates more data. In a recent Network World article, Ash Ashutosh expanded on this idea:
 
“…there is a constant iterative process of data creation, processing, analysis and sharing/selling. Data created by an IoT sensor or social media app has little value at the time of creation. The value increases exponentially when it is then used to develop applications, further analyzed for targeted outcomes, and sold to consumers or other vendors. Even the database in an Oracle Exadata appliance becomes more business critical as hundreds of developers and data scientists need to access and analyze the data.”
 
Users

That brings us to the second pillar: users. When it comes to data, the most important information businesses want is customer insights. They want to know as much as they can so that they can develop targeted products, services, solutions, and experiences. It doesn’t matter whether the customer is a consumer, a business, or an internal stakeholder—that is, an employee.
 
Customers of every kind now expect a highly responsive experience. When they are looking for a product or service, searching for information, or completing a transaction, they expect a real-time experience. And businesses are meeting this demand by creating more responsive apps—the third key pillar for the modern enterprise.
 
Apps

The apps are the interface between the data and users. In the modern mobile world, businesses need to interface with customers with any device, through any type of app. These applications—like IoT sensors or mobile apps—are the conduit for gathering data and processing it to deliver what the user wants and needs.
 
We now have the three pillars: We have the users who are creating activity. That activity creates data. That data is then transferred by an application to systems that can process it in real time and respond to the user, again via the app. So how does a business make it all work together? It’s all about the infrastructure.

Help Wanted: A Single Integrated Platform

In the late 20th century, data was siloed. Finance wanted to report numbers. Manufacturing wanted to improve a process. Sales was looking for insights to drive opportunities. Marketing began to use data to measure its influence on the bottom line. But businesses can’t afford to assemble disparate systems and then take months to launch a new application or analytics service.
 
Businesses run on information—data—and most of it lives in databases that power business growth. But how can businesses make sure they, as well as customers, are getting the most from these insights?
 
Every function in the enterprise today must be able to access data, and process that data from a single platform. Systems need to converge—and that has created problems for companies. Many enterprises still have legacy or multi-vendor architectures. The typical approach to building a database infrastructure to manage data is to use the same generic servers and storage as elsewhere in the data center—but databases are not generic workloads. Generic infrastructure can create problems that delay application deployment and query response times, affecting business and revenue growth.
 
Oracle helps companies overcome this challenge by offering cloud-ready engineered systems which are uniquely optimized for Oracle software, enabling enterprises to streamline and modernize their infrastructure. And only Oracle provides a single architecture with three consumption models: on premises, public cloud, or public cloud behind your firewall enabling you to deliver superior results today, with cloud insurance for the future to deal with structured and unstructured data. What Oracle offers is essentially an infrastructure version of the smartphone. With your phone, you turn it on, and it works; all the apps are there. You can download what you want. You don’t have to worry about configuring anything or setting up any hardware. Everything is optimized to run on the OS, and run the apps.
 
The infrastructure we’re bringing is purpose-built to run the Oracle database and applications. If you’re going to run the Oracle database, take the infrastructure that’s been optimized and co-engineered with the Oracle database and applications. Software is integrated under the hardware specifically for the Oracle database and applications, and that’s what we’re bringing with the cloud-ready engineered systems  that Oracle delivers. And if you want to move to the cloud, all you have to do is say, “Okay. Move my database to the cloud.”

Major Bank Optimizes the Three Pillars to Drive Innovation

Caixa Bank is a shining example of how business can optimize its investment in big data. As Spain’s largest domestic bank, serving 14 million customers, Caixa was looking for new models to serve a changing market, including the millennial customers who expect to conduct business digitally. Using the Oracle Big Data solution that includes Exadata, Big Data Appliance, and Exalytics, Caixa can load the data into the environment best suited for the type of data or the way it’s received, and use that data to develop applications independently, no matter where the data is located.
 
Responding to the demanding financial business environment, Caixa is capturing data in real time from its customers. It’s now able to take big data and apply it to every department of the bank. For example, it uses the data to provide personalized offers to individual customers, and to create predictive models that improve risk management. Watch their story here:

Helping Enterprises Realize the Potential of Big Data

Cloud-ready engineered systems help bring together data, users, and apps—the three key pillars of the modern enterprise. They simplify and modernize the enterprise, unleashing the power of data to make better business decisions, deliver a better customer experience, and adapt to a fast-moving business environment. I believe we’re helping businesses become the agile organizations that will survive and win.

To learn more about how your company can flourish in the Data Capital Economy, read the MIT and Oracle collaboration on the Rise of Data Capital.


          Spreading the Wealth of Data Capitalism   

Today's guest blog comes from Oracle's Big Data Strategist Paul Sonderegger.

Two weeks ago The Economist's cover article was about the data economy. It declared data the world’s most valuable resource and pointed out that “the five most valuable listed firms in the world” are data-heavy technology companies.

The Economist is not alone in marveling at both the value of data and how concentrated its benefits are. A recent Organization for Economic Cooperation and Development (OECD) paper showed that average productivity growth among the top 100 most productive manufacturers was 3.5%, while the rest of the entire market was at 0.5% The gap is even bigger in the services sector.

One of the things that helps this small group of firms consistently become more productive than their rivals is their creation and use of unique stocks of data capital. Data capital assets do not diffuse to rival firms.

This is a critical insight. If your whole data science team walks across the street to the competition, they take with them crucial experience to create better algorithms. But they can’t take your data, forcing the new algorithm to find its own fuel. 

Is the data economy, then, destined to benefit only a few elite firms? No. Despite the landscape today, data trade and data liquidity will spread the benefits among more businesses.

Data trade, the buying and selling of data to create new businesses and streamline existing operations, has been going on for decades. Credit bureaus, for example, were early data traders, selling consumer financial data to assist banks’ lending decisions. But with new sources of data and demand to use it, data trade is exploding.

Oracle Data Cloud contains 5 billion global consumer profiles with 40,000 different attributes sourced from over 15 million websites. It also has 400 million business profiles and $3 trillion in consumer transactions. This data, originating with one group of firms, can be purchased by others to improve the efficiency of marketing dollars, better inform consumer product launches, or redesign social media publishing strategies.

The same old story about using more data to make better decisions gets a twist. Data created by one company gets used in another, in ways the first never imagined.

Data liquidity, getting the data you want into the shape you need for the task at hand, is an imperative for any company creating new digital products and services. But having data spread across diverse repositories, like Hadoop clusters and NoSQL, graph, and relational databases gets in the way. The pressure to use data in diverse algorithms, analytics and apps multiplies the problem exponentially.

Moving to the cloud is the fastest way to remove these barriers. But not all companies can instantly move all computing jobs to a public cloud. This is why Oracle offers a full range of Cloud at Customer machines, basically racks of Oracle’s cloud that run in your data center, fully managed by Oracle and with subscription pricing. No other technology company offers this.

The benefits of exploiting data capital to create competitive advantage are real, but highly concentrated today. Oracle’s reinvention of enterprise computing as a set of services that are easy to use and buy promises to bring these benefits to all firms, not just the global superstars.

Paul Sonderegger is Oracle’s Big Data Strategist and leads the company’s work on data capital. Prior to joining Oracle, he was Chief Strategist at Endeca, a discovery analytics company, and a Principal Analyst at Forrester Research. Paul has a Bachelor of Arts degree from Wake Forest University.

Keep up with the latest on the data capital economy and follow Paul on Twitter: @PaulSonderegger and LinkedIn: www.linkedin.com/in/paulsonderegger. Read his latest research with MIT, "The Rise of Data Capital" or join him on Wednesday June 28th for the Oracle Big Data Cloud Machine event with Cloudera and Intel.


          How the Right IT Infrastructure Can Deliver an Extraordinary Customer Experience   

It's no secret that digital business requires tools, solutions, and technologies that allow data and information to flow through the enterprise efficiently. Yet, when it comes to building out the right infrastructure, the devil is in the details. Not all IT systems are created with customer experience in mind.

A fast, agile, and flexible IT framework is critical for creating a culture of customer service excellence. What does that mean? It's the ability to meet customer needs and expectations quickly. That requires extremely responsive back-end systems and highly available services—and it touches applications, databases, storage, and the cloud. Accenture dived deep into the motives of the modern digital customer and discovered that

"profitable growth in today’s always-on world is dependent on providing experiences that keep customers engaged."

With 64% of consumers saying they’ve switched at least one service provider due to a poor customer experience and Oracle estimating that 20% of annual revenue is loss because of a less than positive customer experience, businesses have much at stake.

3 Considerations for Supporting Exceptional Customer Experience

Digital technologies have changed fundamental business models and ushered in new and more demanding IT requirements to support a first-rate customer experience. These requirements reach across organizational boundaries. The common denominator? The customer experience framework and the IT systems that support it must address:

  1. The entire customer lifecycle. This ranges from customer-facing marketing and sales to customer support and reengagement. There are a multitude of applications, both on the market and homegrown, to address the digital customer experience, so you better make sure you have the appropriate IT infrastructure to support the uptime and stability of those services so your people can deliver on time, all the time.

  2. Employee productivity. With multiple channels and numerous customer touchpoints, employees must achieve a high level of efficiency in order to deliver the best possible customer experience. This means instant 24/7 access to data, information, and customers through systems that tap the cloud and mobility. A strong IT infrastructure can enable this, while an unreliable one can cause latency issues or, worse, unexpected downtime and outages.

  3. The supply chain and business partners. As customer and business relationships become more complex—and as partnerships reach across third-party lines—there's a need for efficiency within the customer value chain. Streamlining your IT infrastructure on a single technology stack like Oracle engineered systems can not only reduce the complexity of your data centers, but the supply chain to manage it as well. A streamlined IT infrastructure can also prepare you for a move to the cloud, an emerging trend among supply chain leaders.

Aligning IT and Customer Experience Goals

How can your enterprise properly address these three critical considerations and emerge as a leader rather than a laggard in your industry? IT can help support a successful digital transformation of the customer experience in these key areas:

  • A network infrastructure that enables fast and flexible “anytime, anywhere” transactions and interactions.
  • Extensive use of cloud platforms and services to support growth, including SaaS, IaaS, and PaaS.
  • The Internet of Things (IoT), which connects people, machines, and data to deliver broader and deeper insights, for reaching customers and understanding—even predicting and responding to—their needs.
  • Databases that operate at the speed of digital, often by tapping the more advanced frameworks such as Hadoop and using clouds to move data in near real time.
  • Robust security and privacy protections built into systems in a more comprehensive way.
Engineered to Deliver an Exceptional Customer Experience

With integrated systems, businesses can take advantage of more efficient data processing for real-time data analytics applications and transaction processing, which has a ripple effect across your organization—from better business decision-making to a   smoother and more positive customer experience. Today, there's a need to rethink and rewire traditional database and data warehouse frameworks to deliver real-time data—but also broader datasets that enable a more complete view of business information.

Oracle Engineered Systems is co-engineered to deliver exceptional performance, availability, and security for the systems your business and customers rely on. Purpose-built and designed for Oracle Database and all applications that run on it, the Engineered Systems unified solution maximizes speed to deliver real-time insights and uncompromising data protection at chip level so you can better serve your customers. Because customer produce so much useful, yet unstructured, data, it's imperative that you have the proper infrastructure to ingest and subsequently analyze it all. Customers can plug-and-play with Oracle Big Data Appliance and avoid costly upstart costs of implementing a DIY solution to capture and analyze all the data your customers create. mStart, a Croatian IT services firm, deployed Oracle Big Data Appliance to provide near real-time, detailed insight—including for example the highest and lowest selling items—into the activities of more than 2,000 stores serving 1.2 million customers daily in five countries, enabling retail outlets to intelligently make same-day amendments to prices and promotions to boost revenue and optimize inventory management.

"Thanks to the profound insights delivered in real time by Oracle Big Data Appliance, we have increased our ability to respond to the needs of more than 1 million loyalty card holders who regularly use our retail network. We also expect to reduce our transportation costs." 

Learn more about how Oracle Engineered Systems and Oracle Big Data Appliance can help you better understand your customers and deliver an extraordinary experience so you can quickly optimize and monetize. Oracle and MIT collaborated to explore the rise of the data capital economy in their new paper:

oracle mit presents rise of data capital economy


          3 Cloud Skills You Need to Get Hired   

In a recent blog post on cloud competency, we put the spotlight on three key cloud skills that companies are looking for on candidate resumes - cloud security, container support, and cloud enterprise application development. Being proficient in developing cloud-native applications and knowing how to secure workloads in a cloud-driven world is critically important, but those aren't the only skills that IT hiring managers are looking for. Here we highlight additional cloud skills that, when mastered, enable IT professionals to help their companies lay the foundation for successful cloud deployments.

Enterprise Cloud Migration

The concern that companies have about migrating business processes and related data off of their on-premises infrastructure is legitimate. For example, standard lift-and-shift transitions can often be fraught with messy and disruptive handovers. As we noted in an earlier blog post, Oracle typically recommends that companies take an application-by-application approach to ensure a less disruptive migration to the cloud.
 
Still, the skills required to support a successful migration are significant. And considering how many companies are planning to make the leap, the demand for cloud migration experts will continue to grow.
 
Last year, Cloud Tech listed migration as a top five cloud skill. Cloud pros will need to understand different cloud deployment models to give their employers more deployment options. They will also need the chops to unravel the existing infrastructure to map applications and workloads to the new system.
 
Integration Architecture

Integration architects are generally tasked with knowing how to integrate data into a specific IT architecture, and that includes cloud. It's not surprising then that this skill is in demand along with enterprise cloud migration.
 
Companies that are replacing their on-premises data centers with cloud-based solutions will discover that employing professionals with these skills is critical to their success, noted a blog post in Strategic IT Staffing. The job requires “a measure of database modeling knowledge combined with the understanding of the technical architectures consuming this information.”
 
Finding IT pros with the skills to fill the jobs available is becoming increasingly difficult. Last November, CIO ranked integration architect among the 10 hardest jobs to fill. Positions can take up to 70 days to fill!

Database and Big Data

While not necessarily a cloud-specific skill per se, big data tops the list, and here's why: InformationWeek noted in a recent article that many companies that are trying to figure out how to take advantage of big data, are doing so in the cloud. It recommended that IT pros who want to reach the top of the list of big data job applicants look into topics surrounding Hadoop, Spark, and NoSQL.

Ample big data opportunities exist because many organizations haven't truly capitalized on this yet. Early last year, when Datamation reported that the adoption of big data analytics hadn't quite crossed the chasm yet, it pointed out that one of the major barriers was that big data skills and knowledge are lacking. Yet this article also cited a Dresner Advisory survey report saying that almost 70% of respondents had near-term plans to implement big data technology, so the need is still very much there.
 
Solutions like Oracle's Big Data Appliance help enterprises realize big data results faster, without the time and cost of having to go through a big data science project. Companies that have acquired the talent with knowledge in big data and integration architecture can work with Oracle Big Data Cloud Service for Hadoop and Spark delivered as a service. What's more this cloud service can integrate with existing enterprise data in Oracle Database or Oracle Applications.

I imagine these cloud skills are just the tip of the iceberg. Technology will continue to evolve, but until the machines truly take over, we still need talented human beings to harness this technology - and that's good news for all of us. 


          What Does a Modern Digital Customer Experience Database Look Like?   

Oracle’s Marketing Automation systems including segmentation, reporting, analytics & Marketing Digital Lab all run on Oracle Exadata. I sat down with Dan Williams, IT Director, Infrastructure & Tools, Oracle Global Marketing Operations to talk about how Oracle’s digital architecture is evolving and why they chose Exadata as their platform.

What is guiding Oracle’s digital customer experience technology strategy?

Oracle Marketing is always looking at enhancing our marketing strategy to be able to lead the way, both in terms of business modeling and the use of technology stacks. We are building models to support Account Based and Predictive Intelligence Marketing, which relies on digital footprint of the customers online and offline activity.

Basically, Oracle’s modern Customer eXperience Database (CXD) combines traditional, modern and next generation technologies to maximize Oracle’s investments in things like account-based marketing, customer segmentation, lead scoring, and account behavior beyond the point of sale.

So what is Oracle’s Customer eXperience Database (CXD)?

It’s not just a database, it’s an environment. The architecture is focused on importing social and web browsing data that integrates with our Customer Relationship Management (CRM) and sales data.  All while combining structured and un-structured data.  Here's what it looks like.

Of course we have data quality processes and tools (MMD, Suppression, DQ check, etc.) in order to merge, match, de-dup, validate, verify and complete our contact database. We also have a predictive intelligence model that uses various scoring models that along with Lead Scoring, include models like, Topic Score and sources like Mintigo and 6Sense to provide more options for a Lead.

It contains a data warehousing environment that includes 2x Exadata X-5, 2x Exalytics X-4, VMs, BigIPs, Proxy Servers, etc, a BI Analytics environment for Reporting,  and a Big Data analytics environment that uses technologies like Endeca and Enterprise-R to sort and mine data.

The host includes integration bridges to Eloqua (Oracle Marketing Cloud), plus Oracle’s Social, Data and Content Marketing Clouds to enable marketing automation with hardware hosted at Oracle’s Austin Data Center. Oracle’s Global IT supports the Infrastructure, working closely with Oracle legal teams to continually review & approve the infrastructure and data.

How does it work?

My GMSS DBA team manages the databases and the data loading and refresh processes. The data modeling team ensures we have a solid data model for the incoming data to support business functions like Segmentation, Lead Flow, Lead Scoring, Advanced Analytics, Reporting, Account based Marketing and Predictive Intelligence.

There are four main CXD processes:

  • Contact Management. Our Contact database is refreshed from several sources, near real time, to always maintain the latest greatest record of our contacts.
  • Response Management.  We capture all responses and activities that include anonymous browsing and try and associate them to the contact in CXD. This helps us to identify a contact or a company’s interest in our products at any given time, enabling us to market to them at the right time. Contact interest which is critical, is enabled by this process.
  • Account Management.  We maintain all details and locations of the accounts we marketing to, by working with various vendors like DNB, and leveraging internal data from Data-as-a-Service (DaaS).
  • Big Data Management. As we get more and more unstructured data (Chat, Blogs, Web Page Content, etc) we use technologies like Endeca and Enterprise-R to make sense of them and associate them to our contacts and responses.

What are the data sources?

Three main areas: Here’s a quick view of the architecture.

  1. Traditional
  2. Modern
  3. Next Generation

The Traditional elements include interactive feeds from our CRM/ERM data, Oracle.com visitor profiles and responses, Dunn and Bradstreet and third-party firmographic data.  Traditional is really sales and support data combined with derived data (product preference, contact frequency governance, etc.); purchased data (profiling, competitive ownership, etc.); and available attributes (title, LOB, etc.)

The Modern elements include the digital footprint of our customers, that is captured from their browsing history, Social engagement and other such channels to enable us to target our customers near real-time/in-session to promote Oracle’s products based on the customers current interest.

Finally, our Next Generation involves our Digital Lab, which uses data from Predictive intelligence models (6Sense, Bambora0,  along with ABM, DMP, DaaS, etc. which helps us identify what a customer is currently interested in, which enables Predictive Intelligence models to be able to predict when our customers are most likely to buy our products.

All three work together as a modern marketer’s segmentation database.

Why Exadata as the database infrastructure?

No other system can handle the volume and velocity of the data that is brought into CXD, and the amount of heavy lifting required for Advanced Analytics and BI (business intelligence) dashboards at the same time integrate with Oracle Marketing Cloud, and be able to process and create leads in less than 15 min.

CXD makes full use of the 4 database servers, the 1 TB of memory on each node, along with the storage capacity of ~100 TB total.  The InfiniBand gigabit transfers millions of data per second, enabling quick response times for lead flow. This is the best solution for marketing implementation for BI…stream, acquire, organize, analyze and visualize - all on Oracle Exadata Database Machine.

Check out how it works here.

Make sure to subscribe to the Oracle Infrastructure blog for practical insights on ways to optimize your Oracle Database environments.


          Big Data udvikler til Forsvarets Efterretningstjeneste – er det dig? - Forsvarets Efterretningstjeneste - Dragør   
Du er formentlig datalog, men kan også have en anden relevant teknisk uddannelse. Hjemmesiden bruger cookies til at huske dine indstillinger og godkendelse....
Fra Forsvarets Efterretningstjeneste - Wed, 28 Jun 2017 14:35:26 GMT - Vis alle Dragør job
          Commentaires sur Big Data : des trajets moins chers mais plus longs à la SNCF par photographe Montpellier   
Belle initiative. Mais il va quand même falloir, prendre plus de temps pour arriver à notre destination.
          The Real Threat Of Artificial Intelligence - Keynesian Dystopia   

Authored by Kai-Fu Lee, originally posted at The New York Times,

What worries you about the coming world of artificial intelligence?

Too often the answer to this question resembles the plot of a sci-fi thriller. People worry that developments in A.I. will bring about the “singularity” — that point in history when A.I. surpasses human intelligence, leading to an unimaginable revolution in human affairs. Or they wonder whether instead of our controlling artificial intelligence, it will control us, turning us, in effect, into cyborgs.

These are interesting issues to contemplate, but they are not pressing. They concern situations that may not arise for hundreds of years, if ever. At the moment, there is no known path from our best A.I. tools (like the Google computer program that recently beat the world’s best player of the game of Go) to “general” A.I. — self-aware computer programs that can engage in common-sense reasoning, attain knowledge in multiple domains, feel, express and understand emotions and so on.

This doesn’t mean we have nothing to worry about. On the contrary, the A.I. products that now exist are improving faster than most people realize and promise to radically transform our world, not always for the better. They are only tools, not a competing form of intelligence. But they will reshape what work means and how wealth is created, leading to unprecedented economic inequalities and even altering the global balance of power.

It is imperative that we turn our attention to these imminent challenges.

What is artificial intelligence today? Roughly speaking, it’s technology that takes in huge amounts of information from a specific domain (say, loan repayment histories) and uses it to make a decision in a specific case (whether to give an individual a loan) in the service of a specified goal (maximizing profits for the lender). Think of a spreadsheet on steroids, trained on big data. These tools can outperform human beings at a given task.

This kind of A.I. is spreading to thousands of domains (not just loans), and as it does, it will eliminate many jobs. Bank tellers, customer service representatives, telemarketers, stock and bond traders, even paralegals and radiologists will gradually be replaced by such software. Over time this technology will come to control semiautonomous and autonomous hardware like self-driving cars and robots, displacing factory workers, construction workers, drivers, delivery workers and many others.

Unlike the Industrial Revolution and the computer revolution, the A.I. revolution is not taking certain jobs (artisans, personal assistants who use paper and typewriters) and replacing them with other jobs (assembly-line workers, personal assistants conversant with computers). Instead, it is poised to bring about a wide-scale decimation of jobs — mostly lower-paying jobs, but some higher-paying ones, too.

This transformation will result in enormous profits for the companies that develop A.I., as well as for the companies that adopt it. Imagine how much money a company like Uber would make if it used only robot drivers. Imagine the profits if Apple could manufacture its products without human labor. Imagine the gains to a loan company that could issue 30 million loans a year with virtually no human involvement. (As it happens, my venture capital firm has invested in just such a loan company.)

We are thus facing two developments that do not sit easily together: enormous wealth concentrated in relatively few hands and enormous numbers of people out of work. What is to be done?

Part of the answer will involve educating or retraining people in tasks A.I. tools aren’t good at. Artificial intelligence is poorly suited for jobs involving creativity, planning and “cross-domain” thinking — for example, the work of a trial lawyer. But these skills are typically required by high-paying jobs that may be hard to retrain displaced workers to do. More promising are lower-paying jobs involving the “people skills” that A.I. lacks: social workers, bartenders, concierges — professions requiring nuanced human interaction. But here, too, there is a problem: How many bartenders does a society really need?

The solution to the problem of mass unemployment, I suspect, will involve “service jobs of love.” These are jobs that A.I. cannot do, that society needs and that give people a sense of purpose. Examples include accompanying an older person to visit a doctor, mentoring at an orphanage and serving as a sponsor at Alcoholics Anonymous — or, potentially soon, Virtual Reality Anonymous (for those addicted to their parallel lives in computer-generated simulations). The volunteer service jobs of today, in other words, may turn into the real jobs of the future.

Other volunteer jobs may be higher-paying and professional, such as compassionate medical service providers who serve as the “human interface” for A.I. programs that diagnose cancer. In all cases, people will be able to choose to work fewer hours than they do now.

Who will pay for these jobs? Here is where the enormous wealth concentrated in relatively few hands comes in. It strikes me as unavoidable that large chunks of the money created by A.I. will have to be transferred to those whose jobs have been displaced. This seems feasible only through Keynesian policies of increased government spending, presumably raised through taxation on wealthy companies.

As for what form that social welfare would take, I would argue for a conditional universal basic income: welfare offered to those who have a financial need, on the condition they either show an effort to receive training that would make them employable or commit to a certain number of hours of “service of love” voluntarism.

To fund this, tax rates will have to be high. The government will not only have to subsidize most people’s lives and work; it will also have to compensate for the loss of individual tax revenue previously collected from employed individuals.

This leads to the final and perhaps most consequential challenge of A.I. The Keynesian approach I have sketched out may be feasible in the United States and China, which will have enough successful A.I. businesses to fund welfare initiatives via taxes. But what about other countries?

They face two insurmountable problems. First, most of the money being made from artificial intelligence will go to the United States and China. A.I. is an industry in which strength begets strength: The more data you have, the better your product; the better your product, the more data you can collect; the more data you can collect, the more talent you can attract; the more talent you can attract, the better your product. It’s a virtuous circle, and the United States and China have already amassed the talent, market share and data to set it in motion.

For example, the Chinese speech-recognition company iFlytek and several Chinese face-recognition companies such as Megvii and SenseTime have become industry leaders, as measured by market capitalization. The United States is spearheading the development of autonomous vehicles, led by companies like Google, Tesla and Uber. As for the consumer internet market, seven American or Chinese companies — Google, Facebook, Microsoft, Amazon, Baidu, Alibaba and Tencent — are making extensive use of A.I. and expanding operations to other countries, essentially owning those A.I. markets. It seems American businesses will dominate in developed markets and some developing markets, while Chinese companies will win in most developing markets.

The other challenge for many countries that are not China or the United States is that their populations are increasing, especially in the developing world. While a large, growing population can be an economic asset (as in China and India in recent decades), in the age of A.I. it will be an economic liability because it will comprise mostly displaced workers, not productive ones.

So if most countries will not be able to tax ultra-profitable A.I. companies to subsidize their workers, what options will they have? I foresee only one: Unless they wish to plunge their people into poverty, they will be forced to negotiate with whichever country supplies most of their A.I. software — China or the United States — to essentially become that country’s economic dependent, taking in welfare subsidies in exchange for letting the “parent” nation’s A.I. companies continue to profit from the dependent country’s users. Such economic arrangements would reshape today’s geopolitical alliances.

One way or another, we are going to have to start thinking about how to minimize the looming A.I.-fueled gap between the haves and the have-nots, both within and between nations. Or to put the matter more optimistically: A.I. is presenting us with an opportunity to rethink economic inequality on a global scale. These challenges are too far-ranging in their effects for any nation to isolate itself from the rest of the world.


          Principal Program Manager - Microsoft - Redmond, WA   
Machine Learning, R, Python. Built on a decade of internal experience running an Exabyte-scale big data platform, Azure Data Lake Analytics and Azure Data Lake...
From Microsoft - Thu, 30 Mar 2017 21:09:06 GMT - View all Redmond, WA jobs
          Staff Engineer, R&D Test Engineering Job - SanDisk - Milpitas, CA   
From mobile devices to hyperscale data centers, SanDisk storage solutions make the incredible possible. Hadoop big data database management and scripting in...
From SanDisk - Sat, 06 May 2017 05:16:29 GMT - View all Milpitas, CA jobs
          Comment on EIA’s Electric Power Monthly – June 2017 Edition with data for April by Fred Magyar   
<i>In a new study, researchers apply big-data analysis to reveal the full extent of viruses’ impact on the evolution of humans and other mammals.”</i> LOL! Did you notice the double irony of the necessity of having the technology of big data to do the scientific analysis?! Try doing that while sitting around the campfire and gnawing bones in the back of your dark little smoke filled cave! BTW, Did you know that one of the reasons other than immunologic factors of pig organs being incompatible for pig to human transplants are "PERVS' porcine endogenous retroviruses and they can be edited out with CRISPR-cas9 ? https://www.statnews.com/2017/04/06/crispr-pig-organs-transplant-luhan-yang/ <i>Daunting hurdles stand between where biology is now and where it needs to be to make transplantable pig organs. The old problems of infection and rejection of another species’ organs seem almost quaint compared to those confronting eGenesis. There’s the challenge of CRISPR’ing an unprecedented number of genes without compromising the viability of the designer pigs and without introducing aberrant edits. And of optimizing mammalian cloning, which is how the company creates the pigs.<strong> And of persuading investors and doctors that xenotransplantation is safe, effective, ethical — and lucrative.</strong></i> Imagine that? SAFE, ETHICAL and LUCRATIVE! Eat your ignorant little piggish luddite heart out! <i>Yang, eGenesis’s chief scientific officer, has already made enormous strides, scientific and financial. In 2015, she and colleagues in Church’s lab used CRISPR to eliminate from pig cells 62 genes so potentially dangerous their very existence nixed previous efforts to turn pigs into organ donors... ...Giving up is not in Yang’s lexicon. Urgency is. In her native China, she told STAT, 2 million people need organ transplants, “and people are dying before they get one.” </i> While I'm at it, how do anarchists provide universal healthcare coverage? Oh they don't, so they are a lot more like greedy anti science Republicans than ethical compassionate humans.
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Create and distribute customer surveys. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Software Development Engineer - Huawei Canada - Markham, ON   
Huawei is seeking a Software Development Engineer to join our Big Data Analytics team at the Canada Research Centre in Markham....
From Huawei Canada - Thu, 15 Jun 2017 09:33:55 GMT - View all Markham, ON jobs
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
Machine Learning (predicción y segmenaión) Web Profiling, Web mining, Tex mining, Análisis de redes (SNA) y optimización dinámica. ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Verizon's plan to create a data powerhouse to challenge Facebook and Google is fraught with challenges   

switchboard telephone operatorWikimedia Commons

Verizon, or more specifically it's newly formed digital media division Oath, has an intriguing new plan. It wants to put together a wireless data powerhouse in its quest to challenge Facebook and Google in digital advertising.

Specifically, the company wants to rent reams of consumer data from major competitors like Sprint, T-Mobile, Vodafone and Telefonica that can be used for ad targeting.

Call it the Hulu of wireless data.

Besides the unusual competitive politics involved in such an undertaking (who's in charge? How are we getting paid), it's worth asking, what would such an arrangement look like when it comes to execution? Just how hard is this going to be from a technical perspective? Business Insider talked to some experts about what Oath will be facing in putting such an endeavor together.

Here are some of their big questions:

How hard will it be to mix different data from different wireless companies?

Austin Wright, senior vice president of strategy at the data-centric marketing firm Ansira, said that just stitching together the multiple data sets together will be a Herculean challenge, since each provider "may be supplying data at different levels." For example, one carrier may supply more granular numbers on its customers, while another may provide summarized data, or data on broad segments of consumers.

"Let’s say Verizon’s data is tracked on zip code, and T-Mobile is based on households," said Jeff Smith, chief marketing officer at LiveRamp, which helps marketers move data between different systems. "That's not that simple. It's not just a few more columns in the spreadsheet."

Plus, some carriers may estimate portions of their consumer data, Wright said, while another may focus on more raw numbers. And some data may come from households with multiple accounts, such as family plans.

"All of which further complicates matters," Wright said.

How with the data integration actually work?

Smith said that Oath and its would-be partners have to figure out whether they will mix and match the data themselves, or do so virtually using a third party tech company. Doing it yourself can be messy, he explained. 

You either need a third party that has built software designed to reconcile reams of data, or you "need some data scientists," he said. Smith pointed to comScore's acquisition of Rentrak last year as a model of how big companies with big data sets were able to mesh them together quickly with the help of third parties.

Smith estimated that working with an outside vendor could take Verizon and company six to nine months to make its mixed data sets useful, while the DIY option could take more than a year.

Servers for data storage are seen at Advania's Thor Data Center in Hafnarfjordur, Iceland August 7, 2015. REUTERS/Sigtryggur Ari Thomson ReutersBeside the data blending, what about security?

Steven Wolfe Pereira, chief marketing officer at Neustar, a tech company specializing in data management, noted the recent string of cyber attacks as making security concerns even more paramount.

That means that Oath and friends will not only have to make sure that nobody's real names or addresses are shared among partners or with the outside world, but also have to take steps to ensure that whatever consumers have or have not permitted individual carriers to track is respected even as advertisers look to run big campaigns that employ data from multiple carriers.

"For example, there will have to be a way to make sure that advertisers can control how frequently they show people messages and don't creep people out," said Wolfe Pereira.

Another security issue of importance is making sure that carriers don't learn too much about their competitors' customers. "You don't want Sprint to start prospecting T-Mobile's customers," said Smith. 

microsoft excel spreadsheetShutterstockAll that being said, if Oath actually pulls this off, will marketers be interested?

"Yes!," Wright said. "Most advertisers are continually serving up most of their ad budget to a handful of sources ...They want other options."

"Email addresses, web cookies, these are fractional identifiers for marketers," said Wolfe Pereira. "But the phone number is one of the most persistent identifiers, and it can be tied to a bill in your home. You can theoretically track people's online and offline behavior."

That has powerful applications for ad targeting, he said. "When it’s anonymized, and done the right way, it's a really smart play."

NOW WATCH: JPMorgan Chase explains why it pulled ads from YouTube and Megyn Kelly's show, and reveals a unique strategy it uses to combat fake news


          (USA-UT-Salt Lake City) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-TX-Austin) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-SD-Pierre) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-RI-Providence) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-OH-Columbus) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-MT-Helena) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-LA-Baton Rouge) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-KS-Topeka) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-IA-Des Moines) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-CT-Hartford) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-CO-Denver) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-CA-Sacramento) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-AR-Little Rock) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-AL-Montgomery) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-AK-Juneau) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          Principal Business Intelligence Analyst - Business Intelligence,   
Dallas, Title and Experience: Senior Business Intelligence / SQL Implementation Consultant with heavy SQL, ETL and BI background. Big Data Experience strongly preferred. Location: This person needs to be based out of Dallas(or surrounding areas) and is willing to be at the client site for a certain period of time. You will also be expected to visit the San Mateo office on a quarterly basis. Salary: 80-120
          Software Development Engineer - Huawei Canada - Markham, ON   
Huawei is seeking a Software Development Engineer to join our Big Data Analytics team at the Canada Research Centre in Markham....
From Huawei Canada - Thu, 15 Jun 2017 09:33:55 GMT - View all Markham, ON jobs
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
Manejar la relación comercial local con socios y proveedores, Colaborando con el equipo de alianzas y asociaciones mundiales....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
Manejar la relación comercial local con socios y proveedores, Colaborando con el equipo de alianzas y asociaciones mundiales....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Hadoop Big Data Architect   

          Systems Analyst, Data Science and BI   

Systems Analyst, Data Science and BI

Data Science and BI Principal Systems Analyst will lead projects related to Big Data (Hadoop Technology) involving Unstructured and Structured Data …

Link to Full Article

[Link to Full Article]
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Has basic knowledge of Adobe software (especially Photoshop, Illustrator and Indesign). Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Digital Business Integration Manager - Big Data - Accenture - Canada   
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 13 Jun 2017 02:38:27 GMT - View all Canada jobs
          (USA-AR-Little Rock) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter:** **@geconnections** at http://bit.ly/geconnections **Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.** **Locations:** United States; California, Texas; San Ramon, Houston and San Francisco GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          A Doctor's 9 Predictions About The 'Obamacare Era'   
Debate is raging about Obamacare, and not just in Washington. Out here in Oklahoma we're grappling with implementation of the Affordable Care Act. Patients. Employers. Hospitals. Doctors. Insurers. All of us. Here then are one doctor's predictions about what we will see in the short and medium term for what I see as the unfolding Obamacare era — the biggest domestic health expansion since the enactment of Medicare in 1965. 1. Obamacare is moving ahead, Texas Republican Sen. Ted Cruz notwithstanding. Too many organizations, both inside and outside the government, have invested too much time and money to stop or reverse Obamacare's changes. We will look back on these defunding attempts as political theater. 2. Medicine has entered the era of big data. You'll be nudged regularly by your doctor, other health care providers or so-called medical homes to obtain recommended tests like mammograms, colonoscopies and vaccinations. Health plans will use statistics on flu shots administered and
          Mastering Hadoop The How to Guide of a Practical Approach   
Mastering Hadoop: The How to Guide of a Practical Approach MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7 Hours | Lec: 23 | 1.08 GB Genre: eLearning | Language: English Learn how to master Big Data and Hadoop in a simple manner and with a practical approach that will help you in your work
          Sr. IT Architect - Data Architecture - Manulife Financial - Ontario   
Experience with the development of IT Architecture on multiple major solutions using modern technology platforms (Cloud, Big Data, Decision/Analytic Engines,...
From Manulife Financial - Tue, 13 Jun 2017 18:41:29 GMT - View all Ontario jobs
          Los votantes de Trump son, en su mayoría, usuarios de Windows   
¿Existe algún tipo de correlación entre el sistema eficaz que usas y tu ideología política? Podrías pensar inicialmente que no, pero el big data no perdona: un estudio llevado a angla por Axios ha sobresaliente no pocas ampollas al revelar una clara características de los votantes de Donald Trump: usan, en su mayoría, Windows. El […]
          Ethical and Regulatory Aspects of Clinical Research Session 4: Informed consent, research with adults with impaired decision making, and the ethics of research with big data   
Ethical and Regulatory Aspects of Clinical Research Session 4: Informed consent, research with adults with impaired decision making, and the ethics of research with big data
Presented by: Christine Grady, Scott Kim, Jeff Kahn
Category: Bioethics
Aired date: 10/26/2016
          COL-ESPECIALISTA DATOS BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). ESPECIALISTA DATOS BIG DATA....
De Telefónica - Fri, 30 Jun 2017 13:16:48 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - EJECUTIVO VENTA ESPECIALISTA BIG DATA - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          COL - Profesional Desarrollo de Negocio / Producto Big Data - Telefonica - Bogotá, Cundinamarca   
(Aplica para empleados(as) directos(as) y temporales). Profesional Desarrollo de Negocio / Producto Big Data....
De Telefónica - Fri, 30 Jun 2017 13:16:47 GMT - Ver todos: empleos en Bogotá, Cundinamarca
          Le Figaro: Апокалипсис сегодня   

Le FigaroФранция

Интернет-пиратство Никто не может поставить под сомнение достоинства цифровой революции, когда речь идет об улучшении нашего здоровья, контроле над потреблением энергии или оптимизации наших поездок. В свою очередь растущая диктатура цифровых и больших данных имеет тревожные последствия, по крайней мере, в двух областях.


Первая плохая новость: новые средства цифровой связи необыкновенно увеличивают возможности и радиус действия разного рода мошенников. Речь может идти об отдельных личностях или вредоносных сообществах, кибермошенниках и организациях, мечтающих о мировом господстве. Список преступлений в интернете постоянно растет. Тут и домогательства в социальных сетях, и взлом цифровых данных во время выборов, и вирусные атаки.


После вируса Wannacry, тысячи компаний и организаций стали жертвами новых масштабных кибератак с помощью вируса-вымогателя под названием NotPeyta. Потенциальный ущерб чрезвычайно серьезен в таких жизненно важных отраслях, как промышленность, здравоохранение, банковский сектор, авиация и прочее.


И этот феномен набирает обороты по многим причинам. С одной стороны, глобальная взаимосвязь компьютерных сайтов в Интернете и «облаках» облегчает почти мгновенное распространение вирусов, с другой — бесконечная гонка между непрекращающимися инновациями киберпреступников и систем безопасности.

 

© AFP 2017, Stringer
Штаб-квартира компании Alibaba в Ханчжоу, Китай


Агентства по обеспечению цифровой безопасности существуют во многих странах, как например Национальное агентство по безопасности информационных систем во Франции. Но чтобы проанализировать источники этих атак требуются длительные исследования и международная координация, которая пока находится в зачаточном состоянии. Более того, рост в будущем числа связанных между собой объектов значительно облегчит цифровое пиратство, так как будет гораздо легче расшифровать принцип действия программного обеспечения аппаратуры находящейся в свободной продаже, чем механизм работы информационных центров.

В худшем случае представим себе один из возможных катастрофических сценариев развития сайта Alibaba, который теперь предоставляет большинство услуг, предлагаемых в сети. Поисковые системы, социальные сети, электронная коммерция, торговля товарами, система оплаты, подключение к интернету различных объектов, — все это находится в ежедневном контакте с сотнями миллионов китайцев, а завтра, может быть, с половиной земли. Что произойдет через несколько лет, если выяснится, что этот гигант преследует иные цели, нежели торговое господство, с благословения китайского правительства?

Вторая плохая новость: наша свобода мышления и действий ограничивается каждый день. Горы утренней электронной почты, навязчивая реклама, бесконечные перебои со связью или поиск необходимой информации в лабиринте «фейковых новостей» и фальшивок, оставляют нам все меньше и меньше времени для размышлений и творчества, и даже могут понизить производительность труда. Наши малейшие действия, а завтра и мысли, измеренные при помощи физиологических датчиков и расшифрованные по выражению наших лиц, теперь оцифрованы и каждую секунду пополняют гигантские базы данных, чтобы кормить ненасытные big data. Таким образом, веб-гиганты черпают информацию из этих бездонных хранилищ и вторгаются в нашу личную жизнь, предлагая, якобы специально подобранные для нас продукты и услуги, влияя тем самым на наше поведение и постепенно программируя наши поступки. И, в конечном счете, непрерывный поток ученых слов и почти магические алгоритмы искусственного интеллекта распространяют ореол таинственности и вбивают в память неоспоримые научные достижения, чтобы скрыть свои неприглядные махинации.

Организации по контролю, по примеру Национальной комиссии по информатике и свободам во Франции, были созданы в большинстве стран, чтобы защитится от пагубных действий в интернете и избежать ежедневного воровства наших персональных данных. Однако эффективность их действия ограничена из-за колоссальных финансовых ресурсов международных лидеров в области цифровой экономики и непрекращающихся новых разработок хакеров, работающих из дальних стран. Проблеск надежды может появиться в 2018 году с введением ЕС новых Общих положений о защите персональных данных, которые существенно ужесточат требования к компаниям и санкции к нарушителям.


Можно также подумать, что информационно-технологические компании ведут себя безупречно, чтобы лучше обслуживать клиентов, уставших от рекламы и домогательств и ищущих информационной открытости. Безусловно, эти компании часто демонстрируют безупречный имидж, занимаясь гуманитарной помощью или финансированием медицинских исследований. Но, увы, длинный список хищений в очередной раз доказывает, что путь к этике в цифровой экономике будет долгим. Довольно часто крупные компании уличаются в воровстве и штрафуются проверяющими службами. Среди многочисленных примеров: booking. com, мировой лидер в бронировании гостиниц, который берет слишком большую комиссию, доходящую до 30%, чтобы занять верхнюю строчку с фиктивными положительными оценками. Затем — программное обеспечение AdblockPlus, которое, как выяснилось, блокирует все объявления в интернете, за исключением тех, которые поступают от компаний входящих в «белый список» и избегающих контроля благодаря многомиллионным выплатам.

 

© flickr.com
Стенд Booking.com на туристической выставке


Совсем недавно власти нескольких европейских стран подали иски к Facebook за нарушение политики передачи конфиденциальности личных данных между крупнейшей социальной сетью и WhatsApp.


В связи с этим необходимо срочно провести различные реформы, чтобы противодействовать неуправляемому распространению вездесущих цифровых технологий на работе и в личной жизни.


Теперь, что касается киберпреступности. Во-первых, компании и организации должны в обязательном порядке улучшить защиту своих сайтов и связанных с ними объектов, во-вторых — национальные и международные структуры надзора должны быть значительно усилены. К сожалению, не исключено, что на все это потребуется много времени, и пока мы не защищены от серьезных кибератак.


Что касается наших личных свобод — тут можно начинать действовать уже сейчас.


Прежде всего, как наркоман, который пытается завязать, каждый пользователь интернета должен уметь сокращать время своего присутствия в сетях. И в целом должен уметь лучше управлять своим временем, чтобы в «реальной» жизни иметь время на размышления, отдых и медитацию. Также жизненно важно освоить комплекс мер, чтобы противостоять информационным перегрузкам, более осторожно пользоваться социальными сетями и защищаться от навязчивых или криминальных посягательств.

Во-вторых, необходимо предпринимать совместные ответные действия. Как дзюдоист использует силу своего противника, чтобы его дестабилизировать, мы должны мобилизовать всю мощь цифровых технологий в совместных действиях, создать зоны оповещения и даже создать групповые сайты реагирования или бойкотирования. В продолжение к этому, совместные платформы могут стать прекрасной альтернативой господству мировых лидеров партисипативной экономики. Мы приводим здесь данные компании fairbooking, которая объединяет около двух тысяч владельцев гостиниц, желающих вырваться из- под натиска booking. com, или других компаний, как, например, кооперативы таксистов, мечтающих спастись от диктатуры Uber. Эти совместные контрмеры должны предприниматься при безупречном соблюдении правил этики и открытости, поскольку только это может гарантировать предоплату или финансирование со стороны известных и независимых спонсоров.

И в-третьих, в то время как наши руководители задаются вопросом относительно места латыни в современном образовании, нам представляется более актуальным запустить уже в начальной школе широкомасштабную программу по обучению «информационно свободных граждан».


И эта программа должна быть рассчитана, как на учеников, так и на их преподавателей и родителей.


Основные тезисы правильного индивидуального и коллективного использования цифровых технологий изложены выше и могут быть дополнены вопросами этики.


Этот переходный период для усвоения беспрецедентных технологических и социальных изменений в истории человечества, несомненно, будет долгим. Надеемся, что наше послание окажется более эффективным, чем нелепые дамбы, возведенные для борьбы с неизбежным повышением уровня океанов.

Жан-Поль Эмети (Jean-Paul Aimetti)

Фото: Fotolia, Cienpies Design&Communication


          Negativní efekty moderních technologií: případ Big Data, Baracka Obamy a Obamacare   
Moderní technologie přinášejí zlepšení do našich životů a vnímat je jakkoliv jinak je zpátečnické. Před pokrokem se nelze schovat. Tolik obecná proklamace. Jenže stále častěji je patrné, že bezbolestný vstup moderních technologií do lidských životů, kdy naplňovaly jen potřebu a latentní poptávku, je ten tam. Ano, nakonec se ukázalo, že kvůli emailům nezkrachovaly poštovní úřady a i když k jisté […]
          Database Administrator / Architect - Morgan Stanley - New York, NY   
Datawarehouse and Big data lake architect , supporting an enterprise datawarehouse platform designed and developed to store , process, curate and distribute the...
From Morgan Stanley - Wed, 22 Mar 2017 15:13:32 GMT - View all New York, NY jobs
          Quality Tools Engineer - Kudelski SA - Mountain View, CA   
Experience on datawarehouse and Big Data architectures (Spark, Hadoop, Cassandra…). The Quality and Tools Engineer will join the Engineering Operations...
From Kudelski SA - Thu, 29 Jun 2017 00:25:24 GMT - View all Mountain View, CA jobs
          On the Solution of Linear Programming Problems in the Age of Big Data. (arXiv:1706.10030v1 [cs.DS])   

Authors: Irina Sokolinskaya, Leonid B. Sokolinsky

The Big Data phenomenon has spawned large-scale linear programming problems. In many cases, these problems are non-stationary. In this paper, we describe a new scalable algorithm called NSLP for solving high-dimensional, non-stationary linear programming problems on modern cluster computing systems. The algorithm consists of two phases: Quest and Targeting. The Quest phase calculates a solution of the system of inequalities defining the constraint system of the linear programming problem under the condition of dynamic changes in input data. To this end, the apparatus of Fejer mappings is used. The Targeting phase forms a special system of points having the shape of an n-dimensional axisymmetric cross. The cross moves in the n-dimensional space in such a way that the solution of the linear programming problem is located all the time in an "-vicinity of the central point of the cross.


          From Big Data to Big Displays: High-Performance Visualization at Blue Brain. (arXiv:1706.10098v1 [cs.GR])   

Authors: Stefan Eilemann, Marwan Abdellah, Nicolas Antille, Ahmet Bilgili, Grigory Chevtchenko, Raphael Dumusc, Cyrille Favreau, Juan Hernando, Daniel Nachbaur, Pawel Podhajski, Jafet Villafranca, Felix Schürmann

Blue Brain has pushed high-performance visualization (HPV) to complement its HPC strategy since its inception in 2007. In 2011, this strategy has been accelerated to develop innovative visualization solutions through increased funding and strategic partnerships with other research institutions.

We present the key elements of this HPV ecosystem, which integrates C++ visualization applications with novel collaborative display systems. We motivate how our strategy of transforming visualization engines into services enables a variety of use cases, not only for the integration with high-fidelity displays, but also to build service oriented architectures, to link into web applications and to provide remote services to Python applications.


          Accelerating Science: A Computing Research Agenda. (arXiv:1604.02006v1 [cs.CY] CROSS LISTED)   

Authors: Vasant G. Honavar, Mark D. Hill, Katherine Yelick

The emergence of "big data" offers unprecedented opportunities for not only accelerating scientific advances but also enabling new modes of discovery. Scientific progress in many disciplines is increasingly enabled by our ability to examine natural phenomena through the computational lens, i.e., using algorithmic or information processing abstractions of the underlying processes; and our ability to acquire, share, integrate and analyze disparate types of data. However, there is a huge gap between our ability to acquire, store, and process data and our ability to make effective use of the data to advance discovery. Despite successful automation of routine aspects of data management and analytics, most elements of the scientific process currently require considerable human expertise and effort. Accelerating science to keep pace with the rate of data acquisition and data processing calls for the development of algorithmic or information processing abstractions, coupled with formal methods and tools for modeling and simulation of natural processes as well as major innovations in cognitive tools for scientists, i.e., computational tools that leverage and extend the reach of human intellect, and partner with humans on a broad range of tasks in scientific discovery (e.g., identifying, prioritizing formulating questions, designing, prioritizing and executing experiments designed to answer a chosen question, drawing inferences and evaluating the results, and formulating new questions, in a closed-loop fashion). This calls for concerted research agenda aimed at: Development, analysis, integration, sharing, and simulation of algorithmic or information processing abstractions of natural processes, coupled with formal methods and tools for their analyses and simulation; Innovations in cognitive tools that augment and extend human intellect and partner with humans in all aspects of science.


          Data Scientist - Data Insights & Analytics - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 17 Jun 2017 08:59:04 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - Growth - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:08 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - RA - CSI - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:08 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Engineer - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:07 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Engineer - Growth - 99 TAXIS - São Paulo, SP   
Have been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:06 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - Mkt Place Routing - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:05 GMT - Visualizar todas as empregos: São Paulo, SP
          (USA-CA-San Diego) Information Services Architect   
Information Services Architect **New** **California,San Diego** at https://cymer.referrals.selectminds.com/jobs/541/other-jobs-matching/location-only Information Systems and Technology 0005517Requisition # Share this Job **_ENVISON YOUR FUTURE AT CYMER!_** Cymer, an ASML Company, is the leader in developing light sources used by chipmakers worldwide to pattern advanced semiconductor chips. We're at the forefront of technology innovation because of the extraordinary efforts and ingenuity of our employees. Cymer is the world's leading provider of lithography systems for the semiconductor industry. Through innovation, Cymer is an integral part of today’s technology landscape and is leading the light Generation. _One Company, One Goal, Limitless Innovation. It's our people that make the difference._ **SUMMARY** The selected candidate will be part of the Cymer IT Information and Collaboration team and be responsible for information management strategy and roadmap, new capability/technology assessment and implementation, and day to day operations of specific solutions within the Cymer information management landscape. This is a hands-on role with additional strategic responsibilities to define information management and “Big Data” direction at Cymer. **DUTIES AND RESPONSIBILITIES** + Creates and maintains information architecture and information management strategy that establishes a roadmap for future investment in business intelligence capabilities + Collaborates with business clients, IT service owners, and business analysts to understand the implications of business information needs and drive updates to the information architecture and business analytics to maximize the value of information across the organization + Identifies, selects, implements, and supports business and IT capabilities for managing and integrating structured and unstructured information across the enterprise + Maintains a holistic view of information assets by creating and maintaining blueprints that illustrate how information is stored, processed, and accessed + Act as an information liaison between various business units and IT departments + Lead or contribute to projects and provide guidance/training to IT and other staff + Performs other duties as assigned **QUALIFICATIONS** + Bachelor’s degree related to Computer Science, Information Systems or a related field + 5+ years of experience in information architecture and management or minimum 5-7 years of experience as data analyst, business intelligence analyst, or equivalent roles + Excellent verbal and written communication skills to engage with diverse organizational levels (business and IT) + Excellent customer management skills, with an advanced understanding of customer relationship building and ability to drive proposal and influence direction + Deep knowledge of enterprise Information Technology concepts and processes (i.e. ITIL, COBIT, etc.). + Must be detail oriented and have strong organizational skills to effectively participate in project meetings, discussions and issue resolution. + Must be highly skilled user of Microsoft Office products (Outlook, SharePoint, Word, Excel, PowerPoint and Visio). + Ability to maintain appropriate confidentiality of information and demonstrate ethical behavior. + Expertise with diverse approaches, models, procedures, and solutions used to deliver the duties and responsibilities mentioned above, including: + Demonstrated expertise with developing and driving realization of information architecture development, information policy formation, information taxonomy and modeling + Demonstrated competence in business domain analysis, data warehousing (design and operations), and database design + Demonstrated competence with benefits, design and management of structured and unstructured content and databases / repositories (SQL, NoSQL, HDFS/Hadoop distributions, etc.) and hands-on experience with specific products + Demonstrated competence with Microsoft SQL Server, Oracle DBMS, SAP Business Objects, and related tools is valued + Working knowledge and understanding of benefits and positioning of data virtualization + Working knowledge of data science, data mining, OLAP programming, database management and programming, business process modeling and analysis + Working knowledge of mobile-enabled business analytics architecture and solutions + Working knowledge of statistical computing and graphics programming languages (e.g. R, S-Plus, Python, etc.) + Working knowledge of open source or commercial data visualization tools (e.g. Tableau, Qlikview, Spotfire, etc.) + Working knowledge of cloud-based offerings and vendor differentiation related to analytics and information processing capabilities + Demonstrated experience and interest in leading or managing small regional teams **PHYSICAL DEMANDS AND WORK ENVIRONMENT** The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. + While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. + The employee is occasionally required to move around the campus. + Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. + May require travel dependent on company needs. + The employee may occasionally lift and/or move up to 50 lbs. + Can work under deadlines. Cymer offers competitive salaries and benefits including medical, dental, vision, 401(K), and FSAs. _Cymer is committed to leveraging the diverse backgrounds, perspectives, and experiences of our workforce to create opportunities for our people and the business. EOE_
          (ISR-Kiryat Arie) Software Engineer   
*_NLP and Text Analytics Software Engineer_* We work on complex textually based problems and finding algorithmic solutions to them, taking into consideration performance, scalability and robustness. We create tools for professionals to build their own NLP solution in areas such as entity extraction, text categorization and concordance (matching). We have a super positive and constructive atmosphere. Very hard to match. We have access to lots of high quality data such as: News, financial, legal, scientific, social media and more... We love what we do. *_ _* *_Essential Day-To-Day responsibilities_**_:_* Design, develop and maintain text metadata extraction components. The job will include analyzing complex textually based problems and finding algorithmic solutions to them, while taking into consideration performance, scalability and robustness. The ideal candidate will assume responsibility over major features with sometimes incomplete requirements and is expected to create high quality solutions and implement them in a production grade level. *_Required skills, knowledge and experience_*: · B.Sc. in a relevant field: Computer Science/Software Engineering/Applied Mathematics. M.Sc. an advantage. · Hands on experience in at least one of the following domains: NLP / Machine Learning / Data Mining / Algorithms · At least 3 years of programming experience – Java/Scala is a must · Natural curiosity for data crunching and analysis · Excellent communication skills. A team player _ _ *_Nice To Have_**:* · Experience with Hadoop/Spark/Big data technologies · Experience with ElasticSearch · Experience with Script languages (Python, Groovy, etc.) * * *_General requirements_**:* •Innovative thinker • Problem solver • Self-managed (independent) • Responsible • Hard worker **Job:** **Technology Development Family Group* **Organization:** **Technology & Ops - Platform* **Title:** *Software Engineer* **Location:** *Israel-Kiryat Arie-Kiryat Arie-ISR-Kiryat Arie-Oren Building* **Requisition ID:** *JREQ084687*
          Du risque de négliger la "petite donnée" face au big data   
Par David Coerchon - Systems Engineer – Winshuttle.
Du risque de négliger la
Difficile aujourd'hui de résister au phénomèn...

Journal quotidien finance innovation

          National Architect - Predictive Enterprise - Neudesic - New York, NY   
The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and...
From Dice - Fri, 30 Jun 2017 08:20:56 GMT - View all New York, NY jobs
          National Architect - Predictive Enterprise - Neudesic - Chicago, IL   
The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and...
From Dice - Fri, 30 Jun 2017 08:21:16 GMT - View all Chicago, IL jobs
          National Architect - Predictive Enterprise (Azure SQL Architect) - Neudesic - Irvine, CA   
The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and...
From Dice - Tue, 13 Jun 2017 14:21:33 GMT - View all Irvine, CA jobs
          Data Management Platform : l’outil marketing indispensable pour le Big Data   

À l'ère du Big Data, l'analyse des données des entreprises est un enjeu majeur. La Data Management Platform est un outil marketing indispensable.

Cet article Data Management Platform : l’outil marketing indispensable pour le Big Data est apparu en premier sur BuzzWebzine.


          Presentation: Beyond Big Data - The Realization of an Active Grid in the Age of Fog Computing   

Jan Forrslow discusses Fog Computing, Active Grids, and how an IoT network can become an Active Grid by using Fog Computing.

By Jan Forrslow
          SOA, felhő, integrációs architekt, szenior fejlesztő munkakörbe keresünk munkatársat. | Feladat...   
SOA, felhő, integrációs architekt, szenior fejlesztő munkakörbe keresünk munkatársat. | Feladatok: SOA alapú architektúra tervezés, integrációs megoldások tervezése és kialakítása, felhő cloud alapú megoldások tervezése, egyeztetés az ügyfél szakértőivel. | Mit ajánlunk: Szeretnél a legújabb technológiákkal és érdekes projekteken dolgozni? Szeretnél szakmailag tovább feljődni? Szeretnél részt venni a koncepció alkotásban, termék és rendszer tervezésben, illetve a megvalósításban is? Szeretnél barátságos startup hangulatban, de mégis biztos, stabil háttérrel dolgozni? Izgalmas spinoff belső termékfejlesztési projektek és külföldi ügyfelek számára szállított megoldások. Folyamatosan a legújabb technológiák, szakmai kihívások, részvétel a teljes termékfejlesztési folyamatban. Munkatársainkat folyamatosan segítjük a szakmai és soft skillek fejlesztésében. Komplex projektjeinken továbbfejlesztheted rendszerszintű és architekturális ismereteidet. Startup hangulatban, közösen tervezzük a termékeket, mindenki véleménye számít, minden munkatárs hatással lehet a termék fejlesztésére. Továbbfejlődési lehetőséget biztosítunk architekt, team lead, fejlesztés vezető területek felé. | Elvárások: SOA tervezési elvek ismerete, web service és JMS alapú megoldások ismerete, több éves tapasztalat rendszerintegráció és SOA technológiák terén. | További elvárások: Előny a WSO2 ESB vagy Apache Synapse ismerete, Oracle Service Bus ismerete, Cloud, OpenShift, CloudFoundry valamint a Java szerveroldali technológiák ismerete. Mikrokonténer, DevOps, felhő és Big data technológiák terén szerzett tapasztalat előnyt jelent. Angol nyelv minél mélyebb és kommunikációképes ismerete, valamint más idegennyelvek ismerete előnyt jelent. | További infó és jelentkezés itt: www.profession.hu/allas/1041595
          Data Engineer - CreditCards.com - Austin, TX   
Bankrate Credit Cards is seeking an experienced big data engineer. We help people get the most out of their money through smart credit card recommendations
From CreditCards.com - Fri, 12 May 2017 22:18:08 GMT - View all Austin, TX jobs
          Senior Software Engineer for Big Data & Data Analitycs SEAD-0617-VM - Smartercom Italia srl - Milano Nord, Lombardia   
Smartercom Italia, azienda specializzata in ambito TLC e consulenza ICT, per ampliamento gruppi di lavoro presso propri clienti in Vimercate (Monza Brianza),
Da Indeed - Thu, 29 Jun 2017 11:32:09 GMT - Visualizza tutte le offerte di lavoro a Milano Nord, Lombardia
          Software Engineer Big Data & Data Analitycs - Smartercom Italia srl - Milano, Lombardia   
Smartercom Italia, azienda specializzata in ambito TLC e consulenza ICT, per ampliamento gruppi di lavoro presso propri clienti in Vimercate (Monza Brianza),
Da IProgrammatori.it - Thu, 29 Jun 2017 12:55:53 GMT - Visualizza tutte le offerte di lavoro a Milano, Lombardia
          Software Development Engineer - Huawei Canada - Markham, ON   
Huawei is seeking a Software Development Engineer to join our Big Data Analytics team at the Canada Research Centre in Markham....
From Huawei Canada - Thu, 15 Jun 2017 09:33:55 GMT - View all Markham, ON jobs
          Sr. IT Architect - Data Architecture - Manulife Financial - Ontario   
Experience with the development of IT Architecture on multiple major solutions using modern technology platforms (Cloud, Big Data, Decision/Analytic Engines,...
From Manulife Financial - Tue, 13 Jun 2017 18:41:29 GMT - View all Ontario jobs
          Encryption system hides your travel data from Uber   
7/3/17
Encryption
Enable IntenseDebate Comments: 
Enable IntenseDebate Comments

The apps created by Uber and its competitors put peers in touch with each other when one of them is looking for a ride. But the online platforms these companies have developed also collect users’ personal data – from passengers and drivers alike. Multiplied by millions of users each day, that comes out to be a goldmine of information, especially in the era of Big Data. Researchers from EPFL and the Faculty of Business and Economics at UNIL looked at how the same level of service could be achieved without disclosing users’ personal data.

read more


          Senior Technical Pre-Sales Consultant - Dell - Toronto, ON   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Mon, 15 May 2017 18:02:28 GMT - View all Toronto, ON jobs
          Senior Pre-Sales Technical Consultant - Dell - Montréal, QC   
Previous hands-on experience in the data center environment, with expertise spanning storage, BRS, virtualization, convergence, Cloud and/or Big Data....
From Dell - Fri, 16 Jun 2017 20:39:48 GMT - View all Montréal, QC jobs
          Tentáculos políticos da JBS nos Estados Unidos incluem ex-número 3 do país   

No início deste ano, a JBS anunciou que John Boehner será um dos quatro membros independentes do conselho da JBS Internacional, a companhia que será criada depois do lançamento de ações no mercado americano, o que estava previsto para ocorrer no segundo semestre. Presidente da Câmara dos Deputados de 2011 a 2015, um dos cargos mais importantes dos EUA – é o segundo na linha sucessória, atrás apenas do vice-presidente do país -, o ex-deputado recebeu doações da companhia nas disputas eleitorais de 2008, 2010, 2012 e 2014.

Os valores são mínimos quando comparados aos do Brasil e sua origem não é o caixa da JBS, mas contribuições de seus executivos e funcionários. As empresas são proibidas de fazer doações diretas a candidatos no Estados Unidos. Para atuar nas eleições, elas criam Comitês de Ação Política, que captam recursos entre seus empregados e repassam às campanhas.

Os limites para doações são estritos: no ano passado, indivíduos podiam doar US$ 5.400,00 (cerca de R$ 18 mil hoje) por candidato. Desde 2008, o JBS & Swift PAC destinou US$ 809 mil ao financiamento de campanhas eleitorais, valor conservador para grandes empresas nos Estados Unidos. O republicano Boehner recebeu US$ 5 mil em 2008, US$ 7,5 mil em 2010 e US$ 5 mil em 2012 e 2013. No Brasil, a JBS doou a políticos cerca de R$ 450 milhões nas eleições de 2014, apenas no caixa oficial – há suspeitas de contribuições também no caixa 2. Mas, uma coisa é certa,  no Brasil ou nos Estados Unidos, a JBS continua sempre agindo junto ao mundo político. É o seu segredo para crescer.

O cientista político Mark Langevin, professor da Escola Elliott de Estudos Internacionais da Universidade George Washington, afirmou que o mais importante do PAC não é o dinheiro, mas a rede de apoio e relações que ele cria para o candidato.

Ao longo dos anos, a JBS concentrou suas contribuições em candidatos republicanos. Em 2008, integrantes do partido receberam 82% dos US$ 87.500 doados. No ano passado, o porcentual foi de 90%. O parlamentar que mais recebeu recursos do PAC da JBS desde 2008 foi Adrian Smith, de Nebraska que tem o setor agropecuário entre suas prioridades. No período, os funcionários da empresa destinaram US$ 37 mil a suas campanhas. Em seguida, aparecem dois congressistas do Colorado, estado que concentra os negócios da JBS nos Estados Unidos. O republicano Cory Gardner recebeu US$ 19 mil, enquanto a doação para o democrata Michael Bennett foi de US$ 14.500,00.

Decisões adotadas pelo Judiciário dos Estados Unidos no início dessa década ampliaram a possibilidade de empresas atuarem nas eleições e destinarem recursos para campanhas de maneira indireta. O principal canal para isso são os Super PACs, que podem receber recursos ilimitados de pessoas jurídicas. Apesar de não poderem doar diretamente para o candidato, eles podem usar os recursos em publicidade a seu favor e contra seus adversários e na promoção de causas identificadas com ele.

O Judiciário também abriu uma porta para empresas contribuírem sem se identificar, usando doações a entidades sociais que depois repassam recursos para campanhas.

Apesar das brechas, o economista Maurício Moura, do Ideia Big Data, afirmou que a prática do caixa 2 é algo improvável nos Estados Unidos. “No Brasil, por causa dos limites, as campanhas escondem quanto arrecadam. Aqui, quem arrecada mais é visto como vitorioso”, observou Moura, que faz pesquisas para campanhas no Brasil e em outros países da América Latina.

Os valores gastos nos Estados Unidos são astronômicos. No ano passado, a eleição presidencial custou US$ 2,387 bilhões. Na disputa para o Congresso foram gastos US$ 4,058 bilhões, um total de US$ 6,472 bilhões.

          (Senior) Software Engineer for zeotap - zeotap - Bangalore, Karnataka   
Experience in designing and deploying big data solutions across multiple DCs spread across the globe. Zeotap is a premium data collective that makes large-scale...
From zeotap - Tue, 16 May 2017 06:39:29 GMT - View all Bangalore, Karnataka jobs
          Data Engineer - CreditCards.com - Austin, TX   
Bankrate Credit Cards is seeking an experienced big data engineer. We help people get the most out of their money through smart credit card recommendations
From CreditCards.com - Fri, 12 May 2017 22:18:08 GMT - View all Austin, TX jobs
          Enterprise Performance Management Manager - Verizon - Basking Ridge, NJ   
Hadoop, HDFS, Hive, HBase, Machine Learning, Predictive and Prescriptive Analytics, Oracle Big Data Discovery....
From Verizon - Thu, 29 Jun 2017 10:58:49 GMT - View all Basking Ridge, NJ jobs
          Lead Java Software Engineer (Big Data, Cloud...)   

          Innovation Developer/Architect, Java/J2EE, Voice, Big Data, Insurance Portals   

          Big Data Engineer   

          Big Data Engineer - Mosaic North America - Jacksonville, FL   
The Big Data Engineer will have experience with data transport within Apache Hadoop Big Data architecture and experience with ELT specialty Data wrangling and
From Mosaic North America - Fri, 23 Jun 2017 19:01:52 GMT - View all Jacksonville, FL jobs
          Big Data Engineer   

          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Create and distribute customer surveys. Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Sr Software Engineer ( Big Data, NoSQL, distributed systems ) - Stride Search - Los Altos, CA   
Experience with text search platforms, machine learning platforms. Mastery over Linux system internals, ability to troubleshoot performance problems using tools...
From Stride Search - Tue, 04 Apr 2017 06:25:16 GMT - View all Los Altos, CA jobs
          DevOps Spezialist in der Softwareentwicklung (w/m)   
DevOps Spezialist in der Softwareentwicklung (w/m) esentri AG Ettlingen Übernahme von Projektverantwortung bei Top-Kunden im deutschsprachigen Raum; Planung der Einführung innovativer IoT und Big Data Technologien für die digitalen Geschäftsmodelle unserer Kunden; Konzeption moderner Software-Architekturen;... devops spezialist in der softwareentwicklung (w/m) jetzt bewerben ist ein dynamisches
          Software Development Manager: Big Data and Data Warehouse - Amazon Dev Center India - Hyderabad - Hyderabad, Telangana   
The successful candidate will be responsible for leading a team to define and build a scalable software platform that will enable zero touch operation of a...
From Amazon.com - Tue, 27 Jun 2017 08:56:56 GMT - View all Hyderabad, Telangana jobs
          Big Data Engineer   
Kforce Inc. Miami, FL
          Cloud Full Stack Engineer - Infox Consulting - Bellevue, PE   
Familiarity with big data engines (Hadoop/MongoDB/etc). Design and implement the following:. As a Cloud Full Stack Engineer you will have the opportunity to...
From INFOX Consulting - Fri, 23 Jun 2017 10:56:36 GMT - View all Bellevue, PE jobs
          Analyste-programmeur BI - CGI - Lac-Saint-Jean, QC   
Connaissances en Big Data (gestion des données et/ou outils) un atout; L'analyste-programmeur BI assure la définition et l'évolution des fonctionnalités des...
From CGI - Wed, 26 Apr 2017 19:53:56 GMT - View all Lac-Saint-Jean, QC jobs
          Software Development Manager: Big Data and Data Warehouse - Amazon Dev Center India - Hyderabad - Hyderabad, Telangana   
The successful candidate will be responsible for leading a team to define and build a scalable software platform that will enable zero touch operation of a...
From Amazon.com - Tue, 27 Jun 2017 08:56:56 GMT - View all Hyderabad, Telangana jobs
          How universities can use big data to land grads careers   
BY ROB SPARKS, eCampus News Have faculty, administrators and advisors actually prepared their students for the “real world” and aligned programs, degrees and training with the job market? Without diminishing the quality of the academic program, have students made the right choices to fulfill their ambitions and aspirations and begin their contributions to society? For decades, [...]
          ¿Qué tienen en común Windows y Trump?   

El mercado de Big Data tiene un valor estimado para este 2017 de 33 mil 500 millones de dólares.

The post ¿Qué tienen en común Windows y Trump? appeared first on Revista Merca2.0.


          Enterprise Performance Management Manager - Verizon - Basking Ridge, NJ   
Hadoop, HDFS, Hive, HBase, Machine Learning, Predictive and Prescriptive Analytics, Oracle Big Data Discovery....
From Verizon - Thu, 29 Jun 2017 10:58:49 GMT - View all Basking Ridge, NJ jobs
          Marigold.cz // Negativní efekty moderních technologií: případ Big Data, Baracka Obamy a Obamacare   
Moderní technologie přinášejí zlepšení do našich životů a vnímat je jakkoliv jinak je zpátečnické. Před pokrokem se nelze schovat. Tolik obecná proklamace. Jenže stále častěji je patrné, že bezbolestný vstup moderních technologií do lidských životů, kdy…
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Has basic knowledge of Adobe software (especially Photoshop, Illustrator and Indesign). Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          Senior Big Data Engineer - $150,000.00 range, bonus and more!   

          Tres conceptos complejos: Transhumanismo, deshumanismo, antihumanismo   

Mi columna dominical de hace unos días en el Huffpost tiene que ver con tres conceptos complejos y su relación con el sufrimiento y la salud. Protagonizamos cambios que afectan a todas las esferas de existencia espoleados por una revolución tecnológica que no entendemos por completo. Es tiempo de reflexión y el presente artículo trata de ayudar a profundizar la suya.


Foto: Ricardo Cuba



Transhumanismo, deshumanismo, antihumanismo



Todos quieren tener un móvil último modelo, un ordenador nuevo, una televisión de resolución ilimitada. Coches eléctricos que se conduzcan solos, apartamentos que limpie un robot, neveras que hagan la compra por nosotros. Lo que no nos gusta tanto es tener que pagar una fortuna por estas maravillas, preferimos que los costes los asuman otros, en fábricas lejanas, en explotación invisible que nos escondan de la vista. Nos fastidia un poco que para ello haya que bajar un poco las pensiones, devaluar una pizca la educación y la sanidad pública u otros servicios esenciales cuyo deterioro progresivo a penas notamos. Eso sí, que no nos priven de ese móvil con infinitas aplicaciones, procesador de núcleos incontables y cámaras de treinta y cinco millones de píxeles, signifique esto lo que signifique.

La democracia dejó de dirimirse en las urnas, ahora elegimos el canal de televisión, la red social y la cadena de supermercados o ropa de importación, que además incluye millonarios donativos a buenas causas como plan de fidelización subliminar.

Las naciones desarrolladas se están subdesarrollando al convertir su estructura y andamiaje en un esqueleto low cost que terminará viniéndose abajo con la próxima brisa o tormenta de verano de los mercados.

Y qué decir del sufrimiento humano cuya profundidad es ahora mayor si cabe que en épocas pretéritas. Basta con asomarse a cualquier consulta de un centro de salud para comprobar como el sufrimiento se incrementa como la deuda o la inflación, siguiendo un ritmo tan acelerado y loco como esa ley de Moore de los ordenadores que los hace el doble de potentes en la mitad de tiempo. Sufren los niños, sufren los jóvenes, sufren los adultos, sufren los mayores. Casi todos acuden al sistema de salud que registra con meticulosidad las dolencias, quejas y quebrantos de cada cual, administrando con generosidad pastillas y remedios, pruebas diagnósticas y valoraciones especializadas. Lamentablemente la sanidad no cuenta en plantilla con filósofos, psicólogos, místicos, sabios, pastores o referentes en valores. Por lo que la mayoría de las cuestiones son etiquetadas como problemas físicos, psíquicos o psicosomáticos y el personal vuelve a sus quehaceres con alguna pastilla de más pero igual de confusos y atribulados, sino más.

Las cosas no van a mejorar pese a que los gurús de la tecnología afirmen que el Big Data, la telemedicina, la eSalud y otros avances revolucionarán la sanidad. En realidad lo que está pasando es que nos estamos quedando sin ella tras décadas de infrafinanciación y recortes. Caerá primero la salud mental, luego la atención primaria y finalmente los hospitales que se reconvertirán en cadenas de servicio exclusivas para unos pocos privilegiados. El resto pasará a engrosar las colas de la beneficencia que será objeto de limosnas de las grandes corporaciones o de magnates que aman hacer un bien con deducción de impuestos incluido.

Para humanizar la medicina hace falta dinero, mucho dinero. Si alguien afirma lo contrario miente vilmente. Ya llevamos muchos años de mentiras que están quemando a cientos de profesionales sanitarios que no saben qué hacer ante una situación que les desborda y para la que no están preparados, por muy extensos que sean sus curriculum.

El problema es que la situación no tiene vuelta atrás. No es posible apagar internet ni devolver al fabricante la retahíla de gadgets que adorna nuestra cotidianidad desde que abrimos los ojos por la mañana y miramos el móvil hasta que los cerramos por la noche tras apagar la correspondiente pantalla. Toca pagar y el precio va a ser alto. De momento parece que no porque lo hemos aplazado, como con tantas otras cosas. Pero al final tendremos que pagar con interés una "libra de carne" que tal vez nos deje más maltrechos de lo que con ingenuidad imaginamos, como pasó con aquel joven que tuvo problemas de deudas con un cruel mercader veneciano.

Tal vez en poco tiempo tengamos transhumanos que pasen al cielo de los elegidos. Lo que está claro es que tendremos turbas deshumanizadas en los infiernos cotidianos y que con seguridad surgirán antihumanos ya sea de silicio o de fundamentalismos varios a la carta.

Si lo dicho hasta ahora parece descorazonador tendrán que perdonarme pero no ha sido posible edulcorarlo. Si lo incorporan a su reflexión y a la de sus círculos de conversación al menos tendrán la posibilidad de comprobar o no su verosimilitud y prepararse para cambios que serán mucho mayores a lo que llevan visto.
          2017年全球大数据产业报告之海外篇   

2017年全球大数据产业报告之海外篇

作者:吴极

作为该系列的开篇文章,本期我们将从宏观的角度带你观察大数据行业的整体生态结构,对大数据采集、数据的分布式存储与处理,以及在此基础之上的数据分析、可视化和在众多行业中的应用进行概述。其后的每篇文章我们都会挑选大约5个行业的数十家典型公司进行详细介绍,并会对其中一个重点行业进行逻辑的梳理与详细案例的剖析。那么首先我们就来说说大数据技术是如何产生的?


2017年全球大数据产业报告之海外篇
第一 大数据的技术基础

早在1980年,著名未来学家托夫勒在其所著的《第三次浪潮》中就热情地将“大数据”称颂为 “第三次浪潮的华彩乐章”,这标志着人们首次对海量数据所能够产生的价值有了初步的了解。

但由于连接方式的局限,长期以来人们对于数据的应用大多以企业内部的商业智能为主,随着互联网、移动互联网的普及,企业终于能够直接与用户产生链接并获得大量的用户行为与消费等数据,大数据产业应用的轮廓才渐渐清晰。

2000年初Google为了实现对大量网页的信息抓取、存储,并完成索引的建立及排序功能,同时又希望降低硬件采购成本而逐渐摸索出了利用普通物理机实现的分布式存储、计算体系。这一技术以MapReduce及GFS而为人所熟知,借此大数据得以分布存储在多个数据库中,并进行大规模并发处理,解决了以往单一计算机存储能力不够,计算时间过长而不具备实用性的问题。

依据2003年底Google所发布的论文,前雅虎工程师开发出了类似的分布式存储计算技术Hadoop,随后围绕Hadoop产生了庞大的生态体系,逐渐使大数据基础架构日臻完善。

Hadoop功能包括从数据采集、存储、分析、转运、再到页面展示,完整涵盖了整个流程。例如HDFS实现了数据的分布式存储,HBase负责实现数据库的功能,Flume执行对数据的收集,Sqoop能够对数据进行转移、治理, MapReduce可以通过算法实现分布式计算,Hive则做数据仓库,Pig做数据流处理,Zookeeper实现了各节点间的反馈收集与负载平衡服务,Ambari能够让管理员了解架构整体的工作运行情况。


2017年全球大数据产业报告之海外篇

Hadoop生态技术架构

而随着技术的发展,一些适应独特应用场景的数据库、计算处理等软件也越发丰富,例如非结构化数据库MongoDB就因为其较为强大的条件查询功能以及灵活的数据结构获得了广泛的应用;Spark则将Hadoop中的存储介质替换为闪存,而获得了百倍处理速度的增长,Databricks Cloud就是这一架构下的产品化服务。

除此之外大数据生态中还存在着很多的技术发展路径,其中MPP技术主要还是以关系型数据库为主和Hadoop技术目标类似,都为了将数据切分、独立计算后再汇总。相对于SQL on Hadoop,MPP具有数据优化程度高、计算速度快,擅长被用于进行交叉分析等优点,适合企业进行数据分析使用,但其扩展性相对Hadoop来说较弱,一般在10个节点以上便丧失了计算优势,并且由于非开源架构导致其对特定硬件依赖程度较高。

采用MPP存储模式的代表性公司有Teradata,能够通过进行企业数据分析帮助员工减轻大数据处理的精力消耗与费用成本,使企业能够更加专注于业务运营。在传统数据库公司与意图进入数据库市场的企业服务公司(例如SAP)掀起的收购热潮中,Teradata是目前市场仅存的几家大型独立数据分析公司之一。

第二 大数据的数据来源

2011年麦肯锡发布了一份题为“Big Data: The Next Frontier for Innovation, Competition and Productivity”的报告,里面提到美国拥有1000人以上规模的公司平均存储了超过200T的数据,如果对数据进行价值挖掘将激发很多行业及公司的潜力,这一报告标志了商业领域大数据热潮的开端,也使企业服务软件成为了大数据最初的数据源。

随着存储及计算能力的加强和国内大数据产业的兴起,部分从业者在看到行业巨大前景的同时也意识到了国内数据资源的缺乏,由于民生、电信、交通、电力等具有很高价值的数据都掌握在政府及大型国企中并不开放,如何获取数据源成为了比如何提升数据处理方法更大的问题。

目前国内能够进行脱敏并使用的市场数据的来源主要还是集中在手机、PC等单一渠道与场景中,TalkingData、友盟,以及艾瑞、易观等数据分析及咨询机构很大程度上依赖着这些资源,却也被这些资源所局限。而由于政府数据的敏感性,仅有少数机构能够对接政府数据资源。因此预计随着对数据需求的日益强烈以及数据资源价值被渐渐接受,政府数据资源将会成为数据源的重要组成部分。

而更大范围的数据采集工作将会依托于物联网领域。我们在《即将被281亿个传感器包围,你却还没弄懂物联网技术?》中曾讲到,预计2020年我们将会被281亿个传感器包围,本月27号中国联通也宣布截至目前其物联网联通数量已超过5000万个。可以预见的是,在消费者视角内,未来衣食住行等方方面面都将会配备物联网设备实时采集数据,而采集来的数据将会让商家提供更优质、甚至是定制化的服务,形成双赢。而在工业领域,物联网所采集的大数据也将发挥很大的作用,形成良性循环。


2017年全球大数据产业报告之海外篇

同样随着数据样本与采集渠道的丰富,针对数据采集过程、数据转换与传送和数据存储环节的服务也已经有了很大的发展,Informatica及Mulesoft就是多渠道数据的集成与数据治理行业中的代表性企业。

第三 大数据的分析及可视化

在有了足够的存储与计算能力,并获得了大量的数据后,数据分析产业的发展水到渠成。目前通用性的数据分析行业,主要有数据分析、数据分析可视化、大数据检索,以及延伸出的数据服务平台、商业智能分析及大数据预测与咨询这6大类业务。

数据分析的内容将会在第二及第三篇文章中详细介绍,今天仅介绍一下数据分析的整体情况,及未来可能的发展方向。

大数据分析的出现,对企业而言最大的价值就是能够将大量沉淀的用户行为数据、消费数据、企业服务软件中的数据进行整合,并通过对这些数据的分析来优化产品设计、价格的制定和销售方法的提升,同时降低企业内部运转的成本提高运营效率,例如Pentho通过抓取企业服务软件(主要为SAP)中的各类数据并挖掘及分析,最终能够帮助企业节约大量的报表制作时间,并让管理者能够实时看到企业的运行情况。


2017年全球大数据产业报告之海外篇

同样对于电信、电力以及交通等专业领域的企业来说,通过收集用户数据,可以分析并预测未来的需求,提前对价格进行实时智能调节,并合理分配负载,从而实现利润的最大化并保证运行的安全。


2017年全球大数据产业报告之海外篇

而对舆情数据的分析能够帮助企业及时了解市场情绪,并快速迭代自己的产品与服务,对于金融企业来说也可以快速获知最新动态避免因为信息不对称而暴露于风险中。例如Datameer提供的数据分析引擎就能够实时监测公共消息,检测其语言和传播方式,使用户能够早于媒体报道获得最新资讯,并通过可视化的方式使用户轻松快速上手。

大数据可视化,则是建立在大数据分析之上的,让人们能够更加便捷的理解数据分析结果的手段。大多数提供数据可视化业务的公司都将其作为对数据分析的延伸业务,例如Bottlenose在进行数据分析自动化业务的同时,提供对社交媒体分析的“声纳图”,能够让用户对复杂的关系及逻辑线条一目了然,提升了用户对其数据分析业务的采纳程度。


2017年全球大数据产业报告之海外篇

预计随着数据分析手段与方法的不断升级,数据的可视化工作将成为重点方向,将日益复杂化的数据分析结果与人相连接将会面临技术不断的挑战。

第四 大数据的行业应用

大数据技术已经被视为了未来经济生活中的基础设施,这意味着几乎全部行业都能够在大数据分析技术之上获得经济效率的提升。星河研究院此次将大数据应用的研究范围覆盖到了20多个行业,包含电子商务、媒体营销、物流、企业服务、教育、汽车、金融科技等诸多产业,这一部分行业与公司的介绍将会放在第四到第七篇文章中。

在销售行业中,通过输入客户的性格、穿搭习惯、所处行业及历史销售数据等信息,销售员将会被大数据分析告知,何时给哪一位客户打电话获得订单的概率最高;在品牌形象建立中,Persado能够依据市场情绪的分析,写出与用户能够产生共鸣的文案从而获取消费者好感;法律行业中Ravel能够“阅读”过去数十万判决案例,针对用户输入的案件给出判决概率预测,帮助律师制定辩护策略,而长期来看法律大数据企业很有可能取代大部分初级律师;同样在零售、广告、医疗等诸多领域,大数据技术都能通过分析数据内在的关系而帮助用户实现购买预测、受众精准投放以及病情辅助判断等功能。大数据的行业应用精彩纷呈,远不止上文所提到的这些,接下来的文章中我们会逐一展现大数据应用的神奇。

第五 大数据成为AI产业的燃料

人工智能技术一直是科学家与技术人员的追求,但其发展并不是一帆风顺。例如最初的自然语言识别技术中,科学家希望通过语法规则使计算机理解语义从而实现智能化,但显示证明这一路径并不可行,其后依据大量数据样本的统计方法才有效的提升了自然语言处理的准确度并逐渐达到可用水平。

如今随着计算技术与数据量的提升,大数据能够带给我们的福利已经不仅限于资料的查找,识别语言、视觉的AI技术提供给我们的,除了经常看到的“个人助理”和动态美颜等功能外,仿照大脑结构进行写作、自动记录会议纪要、情绪识别与性格分析,甚至是视频内容的搜索等功能都能够对商业及产业起到较大的推动作用。

鸣谢:王刚

End.

转载请注明来自36大数据(36dsj.com):36大数据 2017年全球大数据产业报告之海外篇


          Big Data Engineer (Hortonworks)   

          (Senior) Software Engineer for zeotap - zeotap - Bangalore, Karnataka   
Experience in designing and deploying big data solutions across multiple DCs spread across the globe. Zeotap is a premium data collective that makes large-scale...
From zeotap - Tue, 16 May 2017 06:39:29 GMT - View all Bangalore, Karnataka jobs
          Dementia research and care : can big data help? / edited by Geoff Anderson and Jillian Oderkirk   
書名:Dementia research and care : can big data help? / edited by Geoff Anderson and Jillian Oderkirk/作者:Addressing Dementia Research and Care: Can Big Data Help? (Workshop) (2014 : Toronto, Ont.), author
          Software Engineering � Automation QA   
JPMorgan Chase & Co - Hyderabad, Telangana - Secunderabad, Telangana - for this job. Redirect to company website Software Engineering Automation QA 3.44/5 ( ) 2 to 5 yrs As per Industry Standards Hyderabad/ Secunderabad..., Big data analytics, Robotics & Machine Learning. This role is to work in Investment Bank Technology as an expert QA Automation en gineer...
          Offer - Big DATA Training With Live Project - USA   
Big DATA online training by qatraininginusa.com is a placeholder of H2kinfosys which has a dominant world class faculty and professional expertise methods of online classes to enhance the skills and knowledge on the selective course. Additional exercises for each session will help you to explore your subject skills in a constructive way to improve your confidence levels. Diligent course training with affordable fees and sessions will be found at one place only that is at qatraininginusa.com. Assignments and exercises to enhance your learned subject and take tests to check you’re testing skills. Our course curriculum designed by experienced instructors to match with the needs of corporate needs. We have very experienced professionals as instructors to teach job oriented Hadoop to our course seekers with personalized training schedules. Every session is updated with regular technology trends of software industry and sink with the needs of IT companies.We offer unique range of online course training for Hadoop for beginners and experienced professionals.Exclusive features of our training:• One to One live training.• Personalized online training with face to face instructors.• Virtual labs for test practices.• 24/7 technical support to solve the queries.• Online videos and illustrations on Big DATA.• Workshops with technical consultants .• Senior most working professionals as instructors.• In-depth coverage of course topics.• Buzz on industry practices and real time projects.• Group discussions to share ideas and procedures.Contact US:https://www.qatraininginusa.com/courses/hadoop-big-data-online-training/https://www.youtube.com/watch?v=VJMGnuCSxagEmail: Training@h2kinfosys.comCall: 6788996841
          Web Marketing Coordinator with AdWords Experience - StrongBox Data Solutions - Quebec   
Has basic knowledge of Adobe software (especially Photoshop, Illustrator and Indesign). Looking to be part of the future in Big Data management?... $40,000 - $50,000 a year
From StrongBox Data Solutions - Fri, 24 Mar 2017 20:57:05 GMT - View all Quebec jobs
          BrandPost: ‘Intelligent’ Analytics Fuels Faster, Smarter Decision Making   

Timely, relevant, and actionable data are the keys to successful digital transformation, yet businesses are still scrambling to revamp data management and analytics practices to fully unleash the value of big data.

More than three quarters (78%) of IT leaders responding to IDG’s 2016 Data & Analytics survey say big data analytics holds the key to their future, potentially changing the way their company does business over the next three years. More than half of the 724 IT decision makers surveyed (53%) are currently implementing or have plans to initiate projects to generate greater value from existing data within the next year.

To read this article in full or to leave a comment, please click here


          BrandPost: High Performance Data Analytics: A Q&A with Subject Matter Experts   

High Performance Data Analytics: A Q&A with Subject Matter Experts                        

High performance data analytics (HPDA) is an emerging field born from the convergence of high performance computing (HPC) and data analytics in the cloud era. To explore the HPDA concept, Walker Stemple, an enterprise account manager for Intel, recently sat down for an interview with subject matter experts Bill Magro, an Intel Fellow and chief technologist for HPC software at Intel, and Jimmy Pike, a Dell EMC fellow at Dell EMC who focuses on HPC, machine learning and computing at the edge. This interview has been edited for length and clarity.

Walker:                  What are the implications for the convergence of big data, analytics, HPC and cloud? And how are customers going to leverage these in the coming years with the digital landscape and how that’s changing?

To read this article in full or to leave a comment, please click here


          Your guide to the top big data certifications today   

Data and big data analytics are fast becoming the lifeblood of any successful business. Getting the technology right can be challenging, but building the right team with the right skills to undertake big data initiatives can be even harder.

Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications. According to research by IT research firm Foote Partners, both noncertified advanced data analytics skills and certified big data skills have gained value in recent years: with 74 advanced data analytics related skills and certifications rising in average value by 6 percent in 2015, followed by 116 advanced data analytics related skills and certifications increasing 4.8 percent overall in market value in 2016. Additionally, Foote Partners research found 123 related certified and noncertified big data skills seeing a 0.3 percent gain in value in the first quarter of 2017.

To read this article in full or to leave a comment, please click here


          (USA-DE-Dover) Manager, Solar Performance Analytics   
**About Us:** GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com GE’s Power Conversion business applies the science and systems of power conversion to help drive the electrification of the world’s energy infrastructure by designing and delivering advanced motor, drive and control technologies that evolve today’s industrial processes for a cleaner, more productive future. Serving specialized sectors such as energy, marine, oil and gas, renewables and industry, through customized solutions and advanced technologies, GE Power Conversion partners with customers to maximize efficiency. To learn more, please visit: www.gepowerconversion.com. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Manager, Solar Performance Analytics will be responsible for the full process of performance analytics for customers of GE’s Digital Solar product line, with a focus on asset performance modeling (using PVSyst, GE’s proprietary Heliophile tool, and GE Predix). The role will also incorporate leadership in defining and sketching product requirements for the software teams. **Essential Responsibilities:** As the Manager, Solar Performance Analytics, you will: + Be the industry expertise for asset performance improvement + Perform data ingestion and pre-processing, economic entitlement and financial modeling, product development including wireframe or visualization mock-up and alpha versions of the product UI/UX] + Influence the development of the product + Develop advanced machine learning algorithms + Create machine learning models from development through testing and validation + Influence the team by providing recommendations for continuous improvement + Mentor other engineers in the team regarding technology and best practices + Investigate the impact of new technologies on the future of the solar and energy industry + Collaborate with product managers, architects, business users and software engineers to define requirements and design solutions + Participate in providing analytical insights to executive leadership team + Provide ongoing maintenance, support and enhancements in existing systems and platforms + Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI solutions + Design conceptual and logical models for the data warehouse or data mart (data structure,storage, and integration) + Lead the database analysis, design, and build effort + Participate in quality management reviews + Experience working with analytics and machine-learning + Lead the industry standard process in IEC standards & suggest the team with new development of standards in Solar Analytics & performance + Develop advanced analysis algorithms using sensor and inverter performance data to find patterns and relationships governing the condition of solar components + Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed + Support Big Data initiatives to integrate GE established solutions into GE Renewables + Develop processes and tools that predict deterioration and remaining useful life of wind and hydroturbine components **Qualifications/Requirements:** + Bachelor's Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) + Minimum of 5 years of experience in engineering ELIGIBILITY REQUIREMENTS: + Ability and willingness to travel up to 50% of the time to domestic and international locations for customer, partner and engineering meetings as well as field troubleshooting **Desired Characteristics:** + Master's Degree in Engineering or equivalent knowledge / experience + Entrepreneurial mindset + Outstanding program management & leadership skills + Proven client engagement capability + Passionate about driving change + Demonstrated ability to lead in highly matrixed environment + Ability to translate strategic direction into tactical deliverables + Strong technical (software & infrastructure) skills + Strong communication and interpersonal skills **To stay connected with exciting news and the latest job opportunities f