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Hadoop : the definitive guide /
Organizations large and small are adopting Apache Hadoop to deal with huge application datasets. This guide provides you with the key for unlocking the wealth this data holds. It demonstrates how to use Hadoop to build reliable, scalable, distributed systems.
| Cote: | Libro Electrónico |
|---|---|
| Auteur principal: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Sebastopol, Calif. :
O'Reilly Media, Inc.,
©2009.
|
| Édition: | 1st ed. |
| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 520 | 8 | |a Organizations large and small are adopting Apache Hadoop to deal with huge application datasets. This guide provides you with the key for unlocking the wealth this data holds. It demonstrates how to use Hadoop to build reliable, scalable, distributed systems. | |
| 505 | 0 | |a Table of Contents; Foreword; Preface; Administrative Notes; What's in This Book?; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. Meet Hadoop; Data!; Data Storage and Analysis; Comparison with Other Systems; RDBMS; Grid Computing; Volunteer Computing; A Brief History of Hadoop; The Apache Hadoop Project; Chapter 2. MapReduce; A Weather Dataset; Data Format; Analyzing the Data with Unix Tools; Analyzing the Data with Hadoop; Map and Reduce; Java MapReduce; A test run; The new Java MapReduce API; Scaling Out; Data Flow. | |
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