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About Hadoop大数据处理
本书以大数据处理系统的三大关键要素—“存储”、“计算”与“容错”为起点，深入浅出地介 绍了如何使用Hadoop这一高性能分布式技术完成大数据处理任务。本书不仅包含了使用Hadoop进行大 数据处理的实践性知识和示例，还以图文并茂的形式系统性地揭示了Hadoop技术族中关键组件的运行原 理和优化手段，为读者进一步提升Hadoop使用技巧和运行效率提供了颇具价值的参考。 本书共10章，涉及的主题包括大数据处理概论、基于Hadoop的大数据处理框架、MapReduce计算 模式、使用HDFS存储大数据、HBase大数据库、大数据的分析处理、Hadoop环境下的数据整合、Hadoop 集群的管理与维护、基于MapReduce的数据挖掘实践及面向未来的大数据处理技术。最后附有一个在 Windows环境下搭建Hadoop开发及调试环境的参考手册。 本书适合需要使用Hadoop处理大数据的程序员、架构师和产品经理作为技术参考和培训资料，也可 作为高校研究生和本科生教材。
Detailed Information
| Author: | 刘军 |
|---|---|
| Publication Year: | 2013 |
| Language: | other |
| File Size: | 12.5837 |
| Format: | |
| Price: | FREE |
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