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"You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to structure your first cloud--computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software--you just focus on the code,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Venner, Jason
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, ©2009.
Colección:Expert's voice in open source.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Ch. 1. Getting started with Hadoop core
  • Ch. 2. The basics of a MapReduce job
  • Ch. 3. The basics of multimachine clusters
  • Ch. 4. HDFS details for multimachine clusters
  • Ch. 5. MapReduce details for multimachine clusters
  • Ch. 6. Tuning your MapReduce jobs
  • Ch. 7. Unit testing and debugging
  • Ch. 8. Advanced and alternate MapReduce techniques
  • Ch. 9. Solving problems with Hadoop
  • Ch. 10. Projects based on Hadoop and future directions
  • App. A. The JobConf object in detail.