BigDataFr recommande : L’ENS Paris-Saclay, Atos et le CEA créent une Chaire sur la data industrielle […] Encore une Chaire sur le big data. Elle est créée par l’Ecole normale supérieure Paris-Saclay avec le groupe français de services au numérique Atos et le Commissariat à l’énergie atomique et aux énergies alternatives (CEA). L’initiative s’inscrit dans […]
Actualités
[Recrutement] – Rejoignez Data Impact ! #datascientist #marketing #businessintelligence
Recrutement Data Impact – Paris – Plusieurs postes à pourvoir ! #datascientist #marketing #businessintelligence Retrouvez dès à présent toutes les opportunités professionnelles de Data Impact L’Entreprise Le récent et important développement du Drive (50% de croissance annuelle depuis 2011), est innovation française qui connaît un vif succès (+7 millions d’utilisateurs et 3,5 Md€ de CA […]
[HAL] BigDataFr recommends: Supporting multiple data stores based applications in cloud environments
BigDataFr recommends: Supporting multiple data stores based applications in cloud environments Abstract […]The production of huge amount of data and the emergence of Cloud computing have introduced new requirements for data management. Many applications need to interact with several heterogeneous data stores depending on the type of data they have to manage: traditional data types, […]
[Informationweek] BigDataFr recommends: 8 Critical Elements Of A Successful Data Integration Strategy
BigDataFr recommends: 8 Critical Elements Of A Successful Data Integration Strategy […] Data integration is more important than ever as organizations look to leverage the data they have to create greater value. Yet, the task of data integration has only become more complex because the amount of data collected, ingested, stored, and analyzed has increased. Enterprises […]
[Craig Kerstiens] BigDataFr recommends: A Tour of Postgres’ Foreign Data Wrappers
BigDataFr recommends: A Tour of Postgres’ Foreign Data Wrappers […] SQL can be a powerful language for reporting. Whether you’re just exploring some data, or generating reports that show month over month revenue growth it’s the lingua franca for data analysis. But, your data isn’t always in a SQL database, even then if you’re using […]
[Distributique] BigDataFr recommande : BigDataFr recommande : Big Data : Le marché promis à une croissance à deux chiffres jusqu’en 2020
BigDataFr recommande : Big Data : Le marché promis à une croissance à deux chiffres jusqu’en 2020 […] Dans le monde comme en France, le big data est promis à un bel avenir. D’après le cabinet d’études IDC, le marché de l’analyse de grands volumes de données devraient connaître une croissance annuelle moyenne de 11,7% […]
[Fastcompany] BigDataFr recommends: Where Top Talent In The Tech Industry Will Likely Work Next
BigDataFr recommends: Where Top Talent In The Tech Industry Will Likely Work Next […] Wherever the best engineers, programmers, and designers in the tech industry go, investment dollars, successful products, and revenues may often follow. The flow of talent in the technology industry is complex, but it can also serve as a key indicator of […]
[Intel] BigDataFr recommends: L’analyse est un capital d’avenir
BigDataFr recommande : L’analyse est un capital d’avenir L’ubiquité des systèmes de consultation de comptes en ligne et mobiles fournit aux banques des quantités phénoménales d’informations sur le comportement de leurs clients. CaixaBank*, l’un des principaux groupes financiers espagnols, spécialisé dans la banque de détail et l’assurance, collecte davantage de données que la plupart des […]
[arXiv] BigDataFr recommends: Correct classification for big/smart/fast data machine learning
BigDataFr recommends: Correct classification for big/smart/fast data machine learning Subjects: Learning (cs.LG); Information Theory (cs.IT) […] Table (database) / Relational database Classification for big/smart/fast data machine learning is one of the most important tasks of predictive analytics and extracting valuable information from data. It is core applied technique for what now understood under data science […]
[Datanami] BigDataFr recommends: The Third Age of Data
BigDataFr recommends: The Third Age of Data […] The Third Age of Data has arrived. Today, an estimated 1 trillion sensors are embedded in a nearly limitless landscape of networked sources, from health monitoring devices to municipal water supplies, and everything in between. The massive amounts of data being generated hold the promise of ever-greater […]