Gaining insight from large data volumes with ease

Abstract

Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of user trends which can be transformed into economic incentives (profits, cost-reduction, various optimization of data workflows, and pipelines). In this paper, we discuss how modern technologies are transforming well established patterns in HEP communities. The new data insight can be achieved by embracing Big Data tools for a variety of use-cases, from analytics and monitoring to training Machine Learning models on a terabyte scale. We provide concrete examples within the context of the CMS experiment where Big Data tools are already playing or would play a significant role in daily operations. *

Integration of the Italian cache federation within the CMS computing model

“…Several metadata of the CMS jobs [5] are collected and stored on a dedicated monitoring system. For the purpose of this work, data relative to the information of the input datasets requested by each job have been analyzed for the whole 2018.…”