Por Nicola De Filippis (Polytechnic University of Bari).
The experimental high energy physics was pioneering the development of technologies to handle data for many decades in the recent past. By contrast currently big companies take the leadership in deployment, deployment and large scale production of data related solutions and the scientific community is making an effort to cope with the new tools, the software and development. Hundreds of physicists store, archive, analyze an increasing large data sample with different goals at the same time. In this presentation we describe the challenges imposed today and in the future for data analysis and we emphasize the use of “Big data” tools for data manipulation and reception, machine learning techniques and more. New directions investigated for the different purposes are described and comparisons between the results by using current and new tools is shown.
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