With more and more data produced every day, we need to pay a special attention on the technologies to use in order to be able to analyze large amount of data. Big Data is often characterized by the 4 V for Volume, Variety, Velocity, Veracity that constitute challenges for the required tools.

With more and more data produced every day, we need to pay a special attention on the technologies to use in order to be able to analyze large amount of data. Big Data is often characterized by the 4 V for Volume, Variety, Velocity, Veracity that constitute challenges for the required tools.

[//en.wikipedia.org/wiki/Machine_learning Machine learning] is to extract knowledge from data. In short it's a family of algorithms that transform data into model or description with the aim to predict or categorize data. In this field we use also analytics tools consisting  to present informations in a more readable way as for the  Square Predict  (http://square-predict.net/) project.

[//en.wikipedia.org/wiki/Machine_learning Machine learning] is to extract knowledge from data. In short it's a family of algorithms that transform data into model or description with the aim to predict or categorize data. In this field we use also analytics tools consisting  to present informations in a more readable way as for the  Square Predict  (http://square-predict.net/) project. Others projects related to big data and cloud computing are the [http://www.wendelin.io Wendelin] and the [http://www.resilience-project.org/ Resilience project].

The wiki is related to our experience on the Grid5000 and CIRRUS testbeds for the study of the Software, Platform, Infrastructure and Network layers that push forward the Data Science field according to an experimental scientific method.

The wiki is related to our experience on the Grid5000 and CIRRUS testbeds for the study of the Software, Platform, Infrastructure and Network layers that push forward the Data Science field according to an experimental scientific method.

'''Our experience is with the following tools:'''

'''Our experience is with the following tools:'''