Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing datasets of any size, and administrators will learn how to set up and run Hadoop clusters. This revised edition covers recent changes to Hadoop, including new features such as Hive, Sqoop, and Avro. It also provides illuminating case studies that illustrate how Hadoop is used to solve specific problems. Looking to get the most out of your data? This is your book. Use the Hadoop Distributed File System (HDFS) for storing large datasets, then run distributed computations over those datasets with 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 Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase, Hadoop’s database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems "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, Cloudera
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很好的Hadoop教程，比Apache和Yahoo !网页版guide详细很多，很多想不明白的Hadoop实现细节都可以在这本书里找到。
评分 评分很好的Hadoop教程，比Apache和Yahoo !网页版guide详细很多，很多想不明白的Hadoop实现细节都可以在这本书里找到。
评分-- china-pub 赠书活动 -- http://www.douban.com/group/topic/20965935/ 一直比较忙，整本书还没读完，只是粗略翻了个大概，其中有两三章细读了一遍。先做个大体评价吧，有时间全部细读后再评论。 从书的内容上来讲，大致上与网上该书的内容介绍一致。简单点概括：这本书对...
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