Hadoop: The Definitive Guide

Tom White

ISBN 10: 1449389732 / ISBN 13: 9781449389734

Verlag: Yahoo Press, 2010

Beschreibung

Hadoop: The Definitive Guide This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Bestandsnummer des Verkäufers 7719-9781449389734

Bibliografische Details

• Titel: Hadoop: The Definitive Guide
• Verlag: Yahoo Press
• Veröffentlichungsdatum: 2010
• Sprache: Englisch
• ISBN-10: 1449389732
• ISBN-13: 9781449389734
• Bindung: Paperback
• Ausgabe: 2. Auflage
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

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 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, Cloudera

Über die Autorin bzw. den Autor

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.