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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 Hadoops data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing realworld MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a highlevel query language for largescale data processing Analyze datasets with Hive, Hadoops data warehousing system Take advantage of HBase, Hadoops database for structured and semistructured 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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