Data Science or not Data Science?
De BIGDATA
Révision de 30 janvier 2016 à 08:20 par Cerin (discussion | contributions)
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
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