Advanced partitioning techniques for massively distributed computation

Abstract

An increasing number of companies rely on distributed data storage and processing over large clusters of commodity machines for critical business decisions. Although plain MapReduce systems provide several benefits, they carry certain limitations that impact developer productivity and optimization opportunities. Higher level programming languages plus… (More)
DOI: 10.1145/2213836.2213839

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Citation Velocity: 14

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