Partitioning
Hasso Plattner
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Hasso Plattner: Hasso Plattner Institute
Chapter Chapter 9 in A Course in In-Memory Data Management, 2014, pp 65-69 from Springer
Abstract:
Abstract Partitioning is the process of dividing a logical database into distinct independent datasets. Partitions are database objects itself and can be managed independently. The main reason to apply data partitioning is to achieve data-level parallelism Data-level parallelism and thus to enable performance gains. Nowadays, multi-core CPUs that are capable to process several distinct data areas in parallel harness partitioned data structures.
Keywords: Hash Function; Partitioning Strategy; Vertical Partitioning; Logical Database; Partitioning Type (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55270-0_9
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DOI: 10.1007/978-3-642-55270-0_9
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