BigDataFr recommande: Marks & Spencer déploie Hadoop pour créer de nouvelles fonctionnalités analytiques […] Marks & Spencer, comme de nombreux noms de la grande distribution, aime le Big Data et l’analytique. Ou en tout cas, aime les dashboards et l’analytique qui permettent de prendre des décisions. La phase de mise en place et d’exploitation des […]
Hadoop
[ZDNet] BigDataFr recommande : Trois choses à ne pas négliger lors de sa migration vers le Cloud en 2016
BigDataFr recommande : Trois choses à ne pas négliger lors de sa migration vers le Cloud en 2016 Les vendeurs s’efforcent depuis si longtemps de dresser un portrait idyllique du Cloud et de ses bénéfices que ces solutions à la demande font figure de réponse à tous les maux qui tracassent les DSI. Et bien […]
[Economie Matin] BigDataFr recommande : Big data : les principales tendances de 2016 #hadoop
BigDataFr recommande: Big data : les principales tendances de 2016 La nouvelle année verra le Big Data prendre de l’ampleur et de la vitesse. L’évolution des usages des données va progresser. Les entreprises ne pourront pas ignorer la généralisation des analyses en libre-service et l’adoption à grand échelle du cloud et de Hadoop, ainsi que […]
[analyticsvidhya] Must Read Books for Beginners on Big Data, Hadoop and Apache Spark
BigDataFr recommends: Must Read Books for Beginners on Big Data, Hadoop and Apache Spark Excerpt […] Companies are now better aware of our lifestyle, choices and daily routine than we do. Thanks to our data stored by smartphones, wrist bands, fitness tracker, shopping bills etc. But, what good will my data do to these companies? […]
[O’R] BigDataFr recommends: The O’Reilly Data Show Podcast-Todd Lipcon (#Cloudera)
BigDataFr recommends: Resolving transactional access and analytic performance trade-offs The O’Reilly Data Show Podcast-Todd Lipcon (#Cloudera) on hybrid and specialized tools in distributed systems. Excerpt HDFS and HBase [Hadoop is] more like a file store. It allows you to upload files onto an arbitrarily sized cluster with 20-plus petabytes, in single clusters. The thing is, […]
[CIO] BigDataFr recommends: BigdataFr recommends:Google promises a Hadoop or Spark cluster in 90 seconds with Cloud Dataproc
BigdataFr recommends:Google promises a Hadoop or Spark cluster in 90 seconds with Cloud Dataproc ‘Getting insights out of big data is typically neither quick nor easy, but Google is aiming to change all that with a new, managed service for Hadoop and Spark. Cloud Dataproc, which the search giant launched into open beta on Wednesday, […]
[MIT Digital Programs] BigDataFr recommends: Tackling the Challenges of Big Data #datascientist #machine learning #hadoop
recommends: MIT’s Digital Program -Tackling the Challenges of Big Data’ New Session! Tackling the Challenges of Big Data, running October 6 – November 17 « This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting […]
[informatiquenews] BigDataFr recommande : L’étincelle Spark embrase le big data
BigDataFr recommande : L’étincelle Spark embrase le big data « Cloudera veut pousser Spark plus près d’Hadoop en remplacement de MapReduce. Avec le rachat d’Onyara, Hortonworks veut unifier la plate-forme Hadoop. Dans l’univers Hadoop, Hortonworks, Cloudera et MapR sont les trois étoiles les plus brillantes avec des positionnements différents : pure open source pour le premier, […]
[Cloudera] BigDataFr recommends: Ibis on Impala – Python at Scale for Data Science
BigDataFr recommends: Ibis on Impala – Python at Scale for Data Science ‘This new Cloudera Labs project promises to deliver the great Python user experience and ecosystem at Hadoop scale. Across the user community, you will find general agreement that the Apache Hadoop stack has progressed dramatically in just the past few years. For example, […]
[HAL] BigDataFr recommends: HaoLap – a Hadoop based OLAP system for big data #datascientist
BigDataFr recommends: HaoLap – a Hadoop based OLAP system for big data Abstract ‘In recent years, facing information explosion, industry and academia have adopted distributed file system and MapReduce programming model to address new challenges the big data has brought. Based on these technologies, this paper presents HaoLap (Hadoop based oLap), an OLAP (OnLine Analytical […]