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It is very important to evaluate the MapReduce-based frameworks for scientific data processing applications. Scientists need a low-cost, scalable, easy-to-use and fault-tolerance platform for large volume data processing eagerly. This paper presents an implementation of a scientific data management benchmark, SSDB, on Hive, a MapReduce-based data warehouse. A complete strategy of migrating SSDB to...
Scientific discovery has shifted from being an exercise of theory and computation, to become the exploration of an ocean of observational data. Scientists explore data originated from modern scientific instruments in order to discover interesting aspects of it and formulate their hypothesis. Such workloads press for new database functionality. We aim at sampling scientific databases to create many...
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