Hadoop: The Definitive Guide - MapReduce for the Cloud

Tom White

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  • O'Reilly Media

  • Paru le : 05/06/2009
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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: - Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using 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 - Take advantage of HBase, Hadoop's database for structured and semi-structured data - Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems 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!
  • Date de parution : 05/06/2009
  • Editeur : O'Reilly Media
  • ISBN : 978-0-596-80470-1
  • EAN : 9780596804701
  • Format : E-Book multi-format
  • Nb. de pages : 528 pages
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    • Pages : 528
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Biographie de Tom White

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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Hadoop: The Definitive Guide. MapReduce for the Cloud
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