EA2013/mapreduce: Difference between revisions
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MapReduce is a programming model for Big Data. Users specify the computation in terms of a map and a reduce function. The computation is parallelize across large-scale clusters of machines. MapReduce has a fault detection and know handle its. This paradigm was popularize by Google. |
MapReduce is a programming model for Big Data. Users specify the computation in terms of a map and a reduce function. The computation is parallelize across large-scale clusters of machines. MapReduce has a fault detection and know handle its. This paradigm was popularize by Google. |
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==Keywords== |
==Keywords== |
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Big Data, data mining, programming model |
Big Data, data mining, programming model |
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=Résumé= |
=Résumé= |
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Revision as of 11:12, 17 November 2013
Présentation
- Titre : Big Data et MapReduce
- Auteur : Marion Dalle <Marion.Dalle@e.ujf-grenoble.fr>
- Enseignants : Georges-Pierre Bonneau, Didier Donsez (EA2013)
- Télécharger : File:MapReduce.pdf
Abstract
MapReduce is a programming model for Big Data. Users specify the computation in terms of a map and a reduce function. The computation is parallelize across large-scale clusters of machines. MapReduce has a fault detection and know handle its. This paradigm was popularize by Google.
Keywords
Big Data, data mining, programming model