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PARALLEL R

DATA ANALYSIS IN THE DISTRIBUTED WORLD


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    Sinopse

    It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don’t. With these packages, you can overcome R’s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R’s memory barrier. Snow: works well in a traditional cluster environment Multicore: popular for multiprocessor and multicore computers Parallel: part of the upcoming R 2.14.0 release R+Hadoop: provides low-level access to a popular form of cluster computing RHIPE: uses Hadoop’s power with R’s language and interactive shell Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

    Detalhes do Produto

      • Formato:  ePub
      • Subtítulo:  DATA ANALYSIS IN THE DISTRIBUTED WORLD
      • Origem:  IMPORTADO
      • Editora: O'REILLY MEDIA
      • Assunto: Programação
      • Idioma: INGLÊS
      • Edição:  1
      • Ano de Edição: 2011
      • Ano:  2011
      • País de Produção: Canada
      • Código de Barras:  2000307083728
      • ISBN:  9781449320331

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