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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,...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress,
©2009.
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Colección: | Expert's voice in open source.
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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.