Hadoop: The Definitive Guide, 3rd Edition
Storage and Analysis at Internet Scale
Publisher: O'Reilly Media / Yahoo Press
Final Release Date: May 2012
Pages: 688

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
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oreillyHadoop: The Definitive Guide, 3rd Edition
 
4.2

(based on 5 reviews)

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80%

of respondents would recommend this to a friend.

Pros

  • Accurate (4)
  • Easy to understand (3)
  • Helpful examples (3)
  • Well-written (3)

Cons

    Best Uses

    • Intermediate (4)
    • Novice (4)
      • Reviewer Profile:
      • Developer (3)

    Reviewed by 5 customers

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    5.0

    This is THE book on Hadoop!

    By sandyboy55

    from Bangalore, India

    About Me Designer, Developer

    Verified Reviewer

    Pros

    • Accurate
    • Easy to understand
    • Well-written

    Cons

      Best Uses

      • Expert
      • Intermediate
      • Novice

      Comments about oreilly Hadoop: The Definitive Guide, 3rd Edition:

      When I was assigned to a new Hadoop project, I had just a week to pick up. I knew just the basics concepts of big data and map reduce. This book helped me get up to speed with the rest of the team wherein I was not merely following the conversations but leading some of the discussions as well.

      My team was impressed with how much I had picked up in such a short time but I have no option but to thank this book for covering almost everything that I needed to know to lead my project.

      The concepts and examples in the book are really good and I would recommend anyone starting with Hadoop to grab this book.

      (1 of 1 customers found this review helpful)

       
      4.0

      Awesome book, some statistics are old

      By Fabio Alessandro Locati

      from Milan, Italy

      About Me Developer, Sys Admin

      Verified Reviewer

      Pros

      • Accurate
      • Concise
      • Easy to understand
      • Helpful examples
      • Well-written

      Cons

        Best Uses

        • Intermediate
        • Novice
        • Student

        Comments about oreilly Hadoop: The Definitive Guide, 3rd Edition:

        Hadoop is today a industry-standard software for the Big Data and this book it's the industry-standard book for Hadoop. This book is able to bring you from no knowledge about Hadoop and the Big Data to a full knowledge of Hadoop and it's usage.

        The book is split in 16 chapters and 3 appendix for a total of 628 pages of contents. This make ~33 pages for chapter so it's easy to read and to find what you need. This is very important since – even if it's possible – it's rare that this kind of book is read cover-to-cover.

        The author, Tom White, does not limit himself to Hadoop itself, but does help the reader to understand the Hadoop ecosystem and White speaks a lot about some products of the Hadoop ecosystem giving to each of them a full chapter. These products are: Pig, Hive, HBase, ZooKeeper and Sqoop.

        The last chapter is a "Case Studies" chapter. In this chapter is shown the usage of Hadoop in some situations you could have thought were difficult or impossible to handle for Hadoop.

        At first I was perplexed by the author choice of constantly use the same example (Weather data), but after a couple of chapters I did see the value that this choice was creating.

        The only down-side I've seen in this book is that, even if the last edition (3rd at the time I'm writing) has been published in May 2012, a lot of statistical data are outdated reporting data and sources of 2006-2008. I would suggest this book to anyone is interested in Hadoop and in the Big Data world.

        Disclaimer: I received a free electronic copy of this book as part of the O'Reilly Blogger Program

        (2 of 3 customers found this review helpful)

         
        5.0

        Very helpful

        By Phil Ballew

        from California

        Verified Reviewer

        Pros

        • Accurate
        • Helpful examples
        • Well-written

        Cons

          Best Uses

            Comments about oreilly Hadoop: The Definitive Guide, 3rd Edition:

            In todays technical world big data and large deployments are standard to a key I.T. infrastructure. Hadoop has come a long was and is very usable for all your date managing needs. This book is jammed packed with Information and you will need to read carefully so you don't miss it. The benefits of reading this book are great. You will save time with the knowledge you gain from reading as well as the confidence you get from knowing all there is to know about this great platform. I recommend this book to everyone interested in getting started in the Hadoop world!

            (4 of 5 customers found this review helpful)

             
            4.0

            Really, the definitive guide

            By Chida

            from Herndon,VA

            About Me Architect

            Verified Reviewer

            Pros

            • Easy to understand
            • Good Foundation on Hadoop
            • Helpful examples

            Cons

            • Less on Analysis samples
            • Lot of pages

            Best Uses

            • Intermediate
            • Novice
            • Student

            Comments about oreilly Hadoop: The Definitive Guide, 3rd Edition:

            Good update to the previous edition, covers variety of supporting Hadoop Platform Open Source Products. Though it is covering a lot of information, a good read and jump to quick hands-on of the platform.
            Examples of codes to call MapReduce functions with some use cases are informative.
            Though it calls for Analysis at Internet Scale, the Analytics is not covered as expected.

            (5 of 16 customers found this review helpful)

             
            3.0

            Thorough, but not divided up well

            By Ben

            from San Francisco

            About Me Developer

            Verified Reviewer

            Pros

            • Accurate

            Cons

            • Too basic

            Best Uses

            • Intermediate
            • Novice

            Comments about oreilly Hadoop: The Definitive Guide, 3rd Edition:

            There's a lot of detail here and I think it could benefit from being split into two parts; concepts and implmentations.

            I also didn't really like the writing style which at times I found to be overly verbose.

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