Data Science or not Data Science?

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Welcome on LIPN Wiki about Big Data

With more and more data, we need to use the right technologies in order be able to analyze large amount of data.

Big Data is often caracterize by the 4 V for Volume, Variety, Velocity, Veracity.

To extract knowledge from data we use machine learning, it's a family of algorithms which transforms data into model or description in order to predict or categorize data.

We use also analytics tools which consist to presents informations in a more readable way.

Tools we use

   Apache Spark : http://spark.apache.org/
   Apache Flink : https://flink.apache.org/
   TenserFlow : https://www.tensorflow.org/
   Wendelin : http://www.nexedi.com/NXD-Document.Blog.Wendelin.Release.0.4.alpha

Testbeds we use

   Grid5000 : https://www.grid5000.fr/mediawiki/index.php/Grid5000:Home
   Cirrus : http://cirrus.uspc.fr

Apache Spark

Apache Spark

How to use Spark on Grid5000

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