The CERN Accelerator Complex is one of the most sophisticated systems in the world consisting in a succession of machines that accelerate particles to high energies and close to the speed of light. This unique complex is composed by millions of sensors, a large number of control devices, multiple critical subsystems and IT supporting infrastructure which generate a large amount of data that CERN has been gathering and storing over the years.
The CERN Data Analytics project aims to profit from that data investment to improve and optimize the systems in the Accelerator Complex by using Data Analytics.
This presentation will show the challengues and the work being carried out within the project, as well as the implementation of some real use cases and the potential applications of Real-Time Data Analytics.