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With this book, experienced programmers will find methods for analyzing large datasets, and administrators will learn how to set up and run Hadoop ...Show synopsisWith this book, experienced programmers will find methods for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. This second edition covers recent changes to Hadoop in depth, including new features such as Hive, Sqoop, and Avro.Hide synopsis
Hadoop: The Definitive Guide (Yahoo Press) – Trade paperback (2010)
by
Tom White, Doug Cutting (Foreword by)
Trade paperback, Yahoo Press 2010
English
2nd ed.
600 pages
ISBN: 1449389732 ISBN-13: 9781449389734
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 ...Show moreDiscover 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, ClouderaHide
