信阅平台

编辑推荐

精准的内容梯度安排：遵循读者学习习惯和Hadoop技术应用实践，合理安排图书内容；精挑细选经典实例，嵌入完善的代码注释。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;精炼的实用经验阐述：作者多年开发经验融入其中，读者在全面掌握Hadoop编程和开发技术的同时更能获得快速分析和解决实际问题的能力。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;书中源代码下载地址：http://www.tdpress.com/zyzx/tsscflwj&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;【本书的特点】&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1．结构合理，内容系统全面；叙述翔实，例程丰富：在内容的安排上，根据读者的学习习惯和内容的梯度合理安排，更加适合读者学习。同时，本书有详细的例程，每个例子都经过精挑细选，有很强的针对性。而且代码非常简洁和高效，便于读者学习和调试，读者也可以直接使用这些代码来解决自己的问题。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;2．基础知识和实践并重：本书不仅注重基础知识，而且非常注重实践，让读者快速上手，迅速掌握Hadoop知识。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;3．结合实际，实战项目贯穿其中：本书写作时特意给出了大量的实战项目，这些项目的灵活使用，将会让读者事半功倍。同时，为了便于读者高效、直观地学习本书内容，对每章的内容的学习都特意编写了思考与总结。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;

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内容介绍

本书由浅入深，全面、系统地介绍了Hadoop这一高性能处理大量数据集的理想工具。本书内容主要包括HDFS、MapReduce、Hive、HBase、Mahout、Pig、ZooKeeper、Avro、Chukwa等与Hadoop相关的子项目，各个知识点都配有精心设计的大量经典的小案例，实战性和可操作性强。<br>本书旨在帮助云计算初学者迅速掌握Hadoop系统，提升读者在云计算实践中的应用和开发能力。同时本书极强的系统性和大量翔实的案例对于有一定基础的中高级用户有非常好的参考价值。&

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精彩书摘

为什么需要云计算？可以通过一个简单的案例说明：一台计算机处理一批数据需要30小时，比如处理地震预测、天气预报的数据，这样的计算速度实在是太慢了。提升单台计算机的速度是过去的办法，但CPU的速度不可能再大幅度提升了。人们一直希望通过增加计算机数量并行运算提升运算和数据处理速度，例如，希望通过同时在300台计算机上处理数据，让处理这批数据的速度变成10分钟，并且看起来是在一台计算机上处理的。当然，这是一种理想状态。实际上，人们已经开始设计这样的分布式系统，通过把众多的计算机通过集群方式并行同时运行，以此来提高处理的速度。这就是云计算的源起。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;在开源云计算系统中，Hadoop&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;稳居第一。事实上，Hadoop&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;非常受欢迎，全球已经安装了数以万计的&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;系统。在诸多的云计算技术中，Hadoop具有无与伦比的优势，越来越多的公司和组织选择使用Hadoop开源项目作为其解决方案。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;Hadoop是Apache基金会的开源项目，为开发者提供了一个分布式系统的基础架构，用户可以在不了解分布式系统的底层细节的情况下开发分布式的应用，充分利用集群的强大功能，实现高速运算和存储。Hadoop项目中包括一个分布式的文件系统HDFS，一个分布式的并行编程框架MapReduce，以及包括Hive、HBase、Mahout、Pig、ZooKeeper、Avro、Chukwa在内的诸多子项目。

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第1篇&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop技术篇&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;第&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;1章&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;初识Hadoop&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop简介&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的起源&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;什么是Hadoop&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的核心技术是Google核心技术的开源实现&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;4&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.4&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的功能与优点&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;5&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.5&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的应用现状和发展趋势&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;6&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的体系结构&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;11&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HDFS的体系结构&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;12&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;MapReduce的体系结构&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;19&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop与分布式开发&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;21&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.4&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的数据管理&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;23&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.4.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HDFS的数据管理&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;23&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.4.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HBase的数据管理&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;23&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.4.3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hive的数据管理&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;24&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.5&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;思考与总结&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;25&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;第&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;2章&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的安装和配置&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;2.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;am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