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 context of the CMS experiment where
Big Data tools are already playing or would play a significant role in daily
operations
