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 Alliance, international experts address several aspects of Big Data.
It also provides a common platform for discussions and identification of new perspectives. The participation fee of 50 EUR is to be paid in cash at arrival (for KIT employees, an alternative payment method is available) and includes coffee, lunch and shuttle bus service.
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