Humanity Unfolds

MapReduce scales data processing across clusters

2004

Dean and Ghemawat publish a programming model for processing large datasets across clusters of machines.

Automatic scheduling, data distribution and failure handling help make large-scale data processing practical. This paper describes Google’s implementation; it is not an open-source release.

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