
Hadoop: The Definitive Guide
Tom White(Author)
O'Reilly (Publisher)
3rd Edition
Published on 12. June 2012
Book
682 pages
978-1-4493-1152-0 (ISBN)
Article exhausted; check for reprint
Description
Ready to unlock the power of your data? With 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 third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN).
* Store large datasets with the Hadoop Distributed File System (HDFS)
* 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
* Load data from relational databases into HDFS, using Sqoop
* Perform large-scale data processing with the Pig query language
* Analyze datasets with Hive, Hadoop's data warehousing system
* Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems
You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN).
* Store large datasets with the Hadoop Distributed File System (HDFS)
* 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
* Load data from relational databases into HDFS, using Sqoop
* Perform large-scale data processing with the Pig query language
* Analyze datasets with Hive, Hadoop's data warehousing system
* Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
Illustrations
Dimensions
Height: 233 mm
Width: 178 mm
ISBN-13
978-1-4493-1152-0 (9781449311520)
Schweitzer Classification
Other editions
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05/2015
4th Edition
O'Reilly
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Previous edition

Tom White
Hadoop: The Definitive Guide
Book
10/2010
2nd Edition
O'Reilly
€41.00
Article exhausted; check for reprint
Person
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.