Hadoop: the Definitive Guide

ISBN-10: 1491901632
ISBN-13: 9781491901632
Edition: 4th
Authors: Tom White
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Description: Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze  More...

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Book details

List price: $32.50
Edition: 4th
Publisher: O'Reilly Media, Incorporated
Publication date: 4/25/2015
Binding: Paperback
Pages: 680
Size: 7.25" wide x 9.25" long x 1.75" tall
Weight: 2.948
Language: English

Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a refreshed HBase chapter, and new chapters on Crunch and Flume. Author Tom White also suggests learning paths for the book.Store large datasets with the Hadoop Distributed File System (HDFS)Run distributed computations with MapReduceUse Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistenceDiscover common pitfalls and advanced features for writing real-world MapReduce programsDesign, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloudLoad data from relational databases into HDFS, using SqoopPerform large-scale data processing with the Pig query languageAnalyze datasets with Hive, Hadoop’s data warehousing systemTake advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.

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