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Management of scientific Big Data poses challenges at all stages of the data life cycle – acquisition, ingest, access, replication, preservation, etc. For scientific communities the data exploration – commonly considered as the 4th pillar besides experiment, theory and simulation – is of utmost importance to gain new scientific insights and knowledge.

At this symposium, organized by the cross-program initiative “Large-Scale Data Management and Analysis” (LSDMA) of the German Helmholtz Association, international experts address several aspects of Big Data. It also provides a common platform for discussions and identification of new perspectives.

For further info, please contact lsdma@scc.kit.edu
Starts
Ends
Europe/Berlin
KIT
Aula, FTU
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen Germany