- Used Books
- Kobo eReading
- Staff Picks
- Gifts & Gift Cards
- Sell Books
- Stores & Events
Special Offers see all
More at Powell's
Recently Viewed clear list
This title in other editions
Hadoop: The Definitive Guideby Tom White
Out of Print
Synopses & Reviews
Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters.
Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:
If you have lots of data — whether it's gigabytes or petabytes — Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject.
"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, Hadoop Founder, Yahoo!
Organizations large and small are adopting Apache Hadoop to deal with huge application data sets, and this comprehensive resource provides the key for unlocking the wealth this data holds.
About the Author
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.
Table of Contents
ForewordPrefaceChapter 1: Meet HadoopChapter 2: MapReduceChapter 3: The Hadoop Distributed FilesystemChapter 4: Hadoop I/OChapter 5: Developing a MapReduce ApplicationChapter 6: How MapReduce WorksChapter 7: MapReduce Types and FormatsChapter 8: MapReduce FeaturesChapter 9: Setting Up a Hadoop ClusterChapter 10: Administering HadoopChapter 11: PigChapter 12: HBaseChapter 13: ZooKeeperChapter 14: Case StudiesInstalling Apache HadoopClouderas Distribution for HadoopPreparing the NCDC Weather DataColophon
What Our Readers Are Saying
Other books you might like