Data analytics services in EGI - Overview and use cases
- Giuseppe La Rocca (EGI.eu)
This session provides an overview of the data analytics services that are provided by EGI or are hosted within the EGI infrastructure.
Data analytics services offer generic or discipline-specific environments for researchers to perform data intensive analysis. EGI provides such analysis within its own portfolio (for example Jupyter Notebooks, CHIPSTER Next Generation Sequencing), as well as supports scientific communities to offer scalable data analytics on top of the baseline EGI compute, data and security services (for example WeNMR portals for structural biology).
This session will provide an overview of the existing analytics services, detailing their features and access modes, and will explain how similar setups can be achieved by scientific communities who wish to use EGI as a scalable hosting environment for their applications/services/frameworks. The session will feature a few research communities to report on their experience in offering data analytics services in EGI.
The session is of introductory level aiming to serve researchers and research communities who want to either use existing analytics services, or wish to make their applications scalable through EGI.
Main target audience
Scientists, representatives of scientific communities, scientific software/platform developers.
- The EGI Notebooks service
- The EGI Workload Manager
- The EGI Applications on Demand services pool
- Science Software on Demand (SSoD),
- AppDB/VMOps, and