Quelques pistes pour mieux comprendre BigDataFR recommende: DataJob 2014 – Big Data : Où en sont les entreprises françaises ? Quelle maturité dans l’exploitation des données ? Par Karim Ben Djemiaa et Vincent Placer, Directeur Associé chez EY Source : datajob.fr Pour aller plus loin : retrouvez les chiffres clés de l’enquête menée par […]
Documentation
[sebastianraschka] BigDataFr recommends: #datascientist #MachineLearning – Artificial Neurons and Single-Layer Neural Networks
BigDataFr recommends: Artificial Neurons and Single-Layer Neural Networks ‘This article offers a brief glimpse of the history and basic concepts of machine learning. We will take a look at the first algorithmically described neural network and the gradient descent algorithm in context of adaptive linear neurons, which will not only introduce the principles of machine […]
[Basho] Relational to Riak
Relational to Riak ‘This whitepaper looks at why companies choose Riak over a relational database. We focus specifically on availability, scalability, and the key/value data model. Then we analyze the decision points that should be considered when choosing a non-relational solution and review data modeling, querying, and consistency guarantees. Finally, we end with simple patterns […]
[Github]BigDataFr recommends: How to share data with a statistician #datascientist, #statisticians, #data, #datasharing
‘How to share data with a statistician This is a guide for anyone who needs to share data with a statistician. The target audiences I have in mind are: -Scientific collaborators who need statisticians to analyze data for them -Students or postdocs in scientific disciplines looking for consulting advice -Junior statistics students whose job it […]
[ArXiv] BigDataFr recommends: Understanding Big Data Analytic Workload On Modern Processors #datascientist #machine learning
BigDataFr recommends: Understanding Big Data Analytic Workload On Modern Processors « Big data analytics applications play a significant role in data centers, and hence it has become increasingly important to understand their behaviors in order to further improve the performance of data center computer systems, in which characterizing representative workloads is a key practical problem. In […]
[HAL] BigDataFR recommends: High-Performance Big Data Management Across Cloud Data Centers
BigDataFR recommends: High-Performance Big Data Management Across Cloud Data Centers, Radu Tudoran Excerpt ‘1.1 Context During the day when you are reading this, more data will be produced than the amount of information contained in all printed material in the world 1. The Internet Data Center estimated the growth of data to be of a […]
BigDataFR recommends: The O’Reilly Data Show Podcast – Erich Nachbar
BigDataFR recommends: The O’Reilly Data Show Podcast – Erich Nachbar, founder and CTO of Virtual Power Systems Erich Nachbar on testing & deploying open source, distributed computing components Redefining power distribution using big data ‘When I first hear of a new open source project that might help me solve a problem, the first thing I […]
[O’R] BigDataFR recommends: Data Driven – Creating a Data Culture
BigDataFR recommends: Data Driven – Creating a Data Culture »In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt. You’ll not only learn examples of how Google, LinkedIn, and Facebook […]
Kon Leong at #CGC15: “Big Data Analytics Needs Big Data Governance”
[BigDataFR recommends] Kon Leong at #CGC15: “Big Data Analytics Needs Big Data Governance” ‘CeBIT Global Conferences 2015: Kon Leong, CEO and Founder, ZL Technologies, speaks about “Big Data Analytics Needs Big Data Governance”’ About ZL Technologies ‘Since 1999, ZL has been committed to pioneering innovative enterprise software. ZL’s team brings management and technology expertise from […]
[arXiv] BigDataFr recommends StratOS – A Big Data Framework for Scientific Computing
BigDataFr recommends StratOS – A Big Data Framework for Scientific Computing Abstract ‘We introduce StratOS, a Big Data platform for general computing that allows a datacenter to be treated as a single computer. With StratOS, the process of writing a massively parallel program for a datacenter is no more complicated than writing a Python script […]