ECAS provides a complete environment enabling scientific end-users to perform data analysis experiments on large volumes of multidimensional data, by exploiting a PID-enabled, server-side, and parallel approach. It relies on Ophidia, a HPDA framework for eScience used to perform scientific data analytics by means of HPC paradigms and in-memory based big data approaches, and on JupyterHub, to give users access to ready-to-use computational environments and resources. Thanks to the Elastic Cloud Computing Cluster (EC3) platform, researchers will be able to rely on the EGI Cloud Compute service to scale up to larger datasets taking advantage of the underlying Infrastructure.
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