Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you'll learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. It's ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. This third edition covers recent changes to Hadoop, including new material on the new MapReduce API, as well as version 2 of the MapReduce runtime (YARN) and its more flexible execution model. You'll also find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. * Store large datasets with the Hadoop Distributed File System (HDFS), then run distributed computations with MapReduce * Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), 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 * Load data from relational databases into HDFS, using Sqoop * Take advantage of HBase, the database for structured and semi-structured data * Use ZooKeeper, the toolkit for building distributed systems
Full Product DetailsAuthor: Tom White
Publisher: O'Reilly Media, Inc, USA
Imprint: O'Reilly Media, Inc, USA
Edition: 3rd Revised edition
Dimensions: Width: 17.80cm , Height: 3.60cm , Length: 23.30cm
ISBN 10: 1449311520
Publication Date: 12 June 2012
Audience: Professional and scholarly , General/trade , Professional & Vocational
Publisher's Status: Active
Availability: Out of stock
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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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