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Revision as of 15:24, 7 September 2005 by Marudubshinki (talk | contribs)(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)In Google's MapReduce programming model, parallel computations over large data sets are implemented by specifying a Map function that maps key-value pairs to new key-value pairs and a subsequent Reduce function that consolidates all mapped key-value pairs sharing the same keys to single key-value pairs.
MapReduce is often used in conjunction with Google File System, for greater parallelization.
References
- Dean, Jeffrey & Ghemawat, Sanjay (2004). "MapReduce: Simplified Data Processing on Large Clusters". Retrieved Apr. 6, 2005.
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