The proposed Big Data Analytics as a Service Infrastructure aims to integrate the existing developments, centralize and standardize the complex data analytics needs for the CERN’s research and engineering community. But also to deliver real time and batch data analytics capabilities and provide transparent data access and extraction-transformation-load, ETL, mechanisms to the different and mission-critical existing data repositories.
Event published at:
International Conference on Computing in High Energy and Nuclear Physics CHEP 2015. Okinawa, Japan.