Revision as of 00:56, 7 April 2005 editAlexwg (talk | contribs)56 editsNo edit summary← Previous edit | Revision as of 14:40, 7 April 2005 edit undoCharles Matthews (talk | contribs)Autopatrolled, Administrators360,292 editsmNo edit summaryNext edit → | ||
Line 3: | Line 3: | ||
==References== | ==References== | ||
* Dean, Jeffrey & Ghemawat, Sanjay (2004). . Retrieved Apr. 6, 2005. | * Dean, Jeffrey & Ghemawat, Sanjay (2004). . Retrieved Apr. 6, 2005. | ||
] |
Revision as of 14:40, 7 April 2005
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.
References
- Dean, Jeffrey & Ghemawat, Sanjay (2004). "MapReduce: Simplified Data Processing on Large Clusters". Retrieved Apr. 6, 2005.