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Hadoop in Action Paperback – December 25, 2010

3.9 out of 5 stars 14 customer reviews

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Editorial Reviews

About the Author

Chuck Lam is a Senior Engineer at RockYou!. Chuck received his B.S from San Jose State University and his Ph.D in Electrical Engineering from Stanford University, where his thesis topic was computational data acquisition.

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Product Details

  • Series: In Action
  • Paperback: 325 pages
  • Publisher: Manning Publications; 1 edition (December 25, 2010)
  • Language: English
  • ISBN-10: 1935182196
  • ISBN-13: 978-1935182191
  • Product Dimensions: 7.4 x 0.7 x 9.2 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Best Sellers Rank: #315,562 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By Erik Gfesser VINE VOICE on March 24, 2012
Format: Paperback Verified Purchase
After checking out reviews of what O'Reilly and Apress had to offer with regard to Hadoop, I ended up purchasing this book based on positive reviews, my past positive experiences with the Manning "In Action" series of texts in general, such as "Spring in Action" and "Java Persistence with Hibernate", formerly "Hibernate in Action" (see my reviews), and the fact that this book was the most recently published on the subject. In short, this text is well organized, and covers its focus on Hadoop well, but potential readers should be aware that about one-third of what Lam has to offer here are ancillary to Hadoop, and not with regard to Hadoop itself. Inclusion of the larger ecosystem within which Hadoop sits personally makes sense, and I do not think this aspect of the book detracts from what the author provides in any way.

The author provides a good introduction to Hadoop in the first three chapters, which includes a discussion on differences between Hadoop and traditional technologies in this space, such as relational databases, as well as a tour of Hadoop building blocks, working with files in the Hadoop Distributed File System (HDFS), and the anatomy of a MapReduce program. The next three chapters contain the bulk of the text, which focuses on writing MapReduce programs, and includes segments on chaining MapReduce jobs, joining data from different sources, creating a Bloom filter, and monitoring, debugging, and tuning.
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Format: Paperback
This book covers Hadoop version 0.20, which is quite outdated relative to the current stable version of 1.x and coming 2.x. It should have been made clear on the cover or in the preface or product description but actually none until page 28 when starting talking about configuring Hadoop. In my opinion, authors and publishers should make it clear right upfront about what version of the product is covered to help readers make an informed choice. In addition, the examples are mostly based on the ubiquitous word-counting example that everyone uses, which is quite boring. If you just want to read about Hadoop and don't plan to actually run any samples, this book is fine. But if you also want to try some samples not based on the word-counting example, you might want to check out another book titled "Hadoop Essentials: A Quantitative Approach" Hadoop Essentials: A Quantitative Approach, which is based on the latest stable release of 1.0.3.
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I really love this book, is made for normal people just trying to get something done. The streaming coverage is perty good, it's the best book for python type of people I've seen. Lot of configuration information - very practical. I can't really review the java examples, but i did like the very practical examples on simple combiners. I think this book in combination with the newer version of "definitive guide"(make sure to get the recent one), really makes a solid statement on the hadoop front. I think both books are mandatory for anyone doing anything serious in hadoop.
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This book has little to no value over what you can just read on-line. The writing style wasn't great and it only covers the surface. No real descriptions of how things really work, performance issues, etc.
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Great intro to Hadoop and the Hadoop Ecosystem. The reason I give this 4 stars is because this book is fairly outdated. The Hadoop world is moving at the speed of light, and a book published 3-4 years ago will not give you the necessary skills to work with today's versions/APIs of MapReduce/HDFS/etc. If you want more than a conceptual understanding of Hadoop, I would wait for the second edition (that will is expected to come out next year) or find another book.
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This book is extremely well-written and clear, as well as being very pragmatic and useful. You can really understand how to set up and use Hadoop. I've read many other articles on Hadoop and MapReduce, but after reading this book I thought "why couldn't those articles have explained it that clearly?"
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Succinct and to the point, but a few years out of date. Still, it achieved what I needed: a medium depth dive into the technology in a book small enough to take on a plane.
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