Dynamic data reallocation for skew management in shared-nothing parallel databases

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The shared nothing parallel database architecture is gaining wide popularity due to its scalability and increased data availability. However, in order to efficiently utilize parallelism in such architecture, independent data sets must be assigned to different processing nodes.
En: Distributed and parallel databases (vol. 5, nro. 3, Jul. 1997), p. 271-288S.T.:H004.652.4 DIS PP2672
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The shared nothing parallel database architecture is gaining wide popularity due to its scalability and increased data availability. However, in order to efficiently utilize parallelism in such architecture, independent data sets must be assigned to different processing nodes.

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