MapReduce: A Flexible Data Processing Tool.

The authors discuss the MapReduce (MR) programming model for processing and generating large amounts of data. They mention their design of an MR system for search engine company Google Inc. for a simplified inverted index. Google has since used MR for other programs including machine learning and ma...

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Publicado en:Communications of the ACM Vol. 53; no. 1; pp. 72 - 78
Autores principales: DEAN, JEFFREY, GHEMAWAT, SANJAY
Formato: Artículo
Publicado: Association for Computing Machinery Jan2010
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: MapReduce: A Flexible Data Processing Tool.
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          DEAN, JEFFREY
          GHEMAWAT, SANJAY
        affil: Google Fellow, Systems Infrastructure Group of Google, Mountain View, CA.
      su:
        Electronic data processing software
        Inverted indexes
        Database management software
        Search engine programming
        Google Inc.
        Data analysis
      sug:
        subj:
          Electronic data processing software
          Inverted indexes
          Database management software
          Search engine programming
          Google Inc.
          Data analysis
      ab: The authors discuss the MapReduce (MR) programming model for processing and generating large amounts of data. They mention their design of an MR system for search engine company Google Inc. for a simplified inverted index. Google has since used MR for other programs including machine learning and machine translation. The Hadoop open source version of MR has been used by a number of organizations. The authors compare MR to a model in which a parallel database management system (DBMS) performs all data analysis.
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      src: R
    language: English
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