Hadoop: The Definitive Guide
Hadoop: The Definitive Guide
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发表时间：
2009-05
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通讯作者：
Tom White
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作者：
Tom White
《Hadoop权威指南》帮助你驾驭数据的力量。Apache Hadoop框架非常适合处理大型数据集，它是谷歌赖以建立其帝国的MapReduce算法的一种开源实现。这本全面的资料展示了如何使用Hadoop构建可靠、可扩展的分布式系统：程序员将找到分析大型数据集的详细内容，管理员将学习如何设置和运行Hadoop集群。书中包含的案例研究说明了Hadoop如何解决具体问题，它可以帮助你：
- 使用Hadoop分布式文件系统（HDFS）存储大型数据集，并使用MapReduce对这些数据集进行分布式计算。
- 熟悉Hadoop用于压缩、数据完整性、序列化和持久化的数据及I/O构建模块。
- 发现编写实际MapReduce程序的常见陷阱和高级特性。
- 设计、构建和管理专用的Hadoop集群，或者在云端运行Hadoop。
- 使用Pig，一种用于大规模数据处理的高级查询语言。
- 利用HBase，Hadoop用于结构化和半结构化数据的数据库。
- 学习ZooKeeper，一种用于构建分布式系统的协调原语工具包。
如果你有大量数据——无论是千兆字节还是拍字节——Hadoop都是完美的解决方案。《Hadoop权威指南》是关于该主题最详尽的书籍。“现在你有机会向一位大师学习Hadoop——他不仅精通技术，还富有常识且讲解通俗易懂。”——道格·卡廷，Hadoop创始人，雅虎！
Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you: Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!