Free Ebook Hadoop: The Definitive Guide
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Hadoop: The Definitive Guide
Free Ebook Hadoop: The Definitive Guide
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Book Description
Storage and Analysis at Internet Scale
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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.
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Product details
Paperback: 688 pages
Publisher: Yahoo Press; Third edition (May 29, 2012)
Language: English
ISBN-10: 1449311520
ISBN-13: 978-1449311520
Product Dimensions:
7 x 1.5 x 9.2 inches
Shipping Weight: 2.3 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
83 customer reviews
Amazon Best Sellers Rank:
#443,051 in Books (See Top 100 in Books)
This book is really difficult to understand on the first attempt. My husband and i went through many other tutorials before starting to read this one. Actually we tried learning hadoop starting from simple hadoop wiki page, wiki.apache.org, hadoop.apache.org, yahoo materials, documents from authors like Jimmy Lin and Chris Dyer , free you tube tutorials and so on.Then when we started learning from this book, we were able to understand the concepts quite vividly in the beginning 2 chapters yet we were crawling when we reached chapter 4 of Hadoop:Definitive Guide. We got really frustrated and stopped reading this book and decided not to continue it again. But later realizing that it is the very foundation of Hadoop we had to move on.So left with no other option we started with a different plan. This time we started with HIVE.It was quite an easy chapter to our surprise.Then we went on to HBASE. It was PIG that surprised us the most.Even though written by the same author who wrote Chapter 4, this one was pretty simple and illustrative.Now when we found that we were able to proceed through the chapters, we came back to Chapter 5 and then covered the rest of Map-Reduce.But still Chapter 4 is a Mystery....Had to skip it forever...But we found yahoo material explaining serialization pretty well...But couldn't deal with AVRO...Still searching for materials to learn that....:)
It's lacking on a lot of details. Maybe it tries to cover too much; Hadoop is a large, and growing daily, ecosystem. It's not simple and extremely fluid. Calling any printed material a "definitive guide" is asking for trouble.One example of failed detail is around configuration for the "Fair scheduler." It basically says (in a few paragraphs) turn it on and let the defaults fly. The Hadoop Operations book has 3 pages on the subject and mentions at least 1, "You must configure this for it to work" variable.Buy it if you want a good overview of everything at the time of publishing. Don't if you expect it to be your handbook for building a Hadoop Cluster.
I bought this book for a project at work, to prototype a log analysis system using Hadoop. I haven't bought very many technical books in the last few years, but the quality of most online documentation for Hadoop is poor and books seemed like a better option. This book is considered the "bible" for Hadoop. It was useful, and I kept it open on my desk for quite a while as I worked to get the infrastructure set up. Consider it a high-level intro to lots of different Hadoop topics, and you'll be happy with it. Just don't expect it to answer all of your questions. You'll probably still end up doing a lot of digging through other online sources, because the Hadoop ecosystem is large and complicated, and no book can really cover all of it. Besides this book, I also bought Hadoop In Action (not quite as big as this book, but a useful counter-point) and Data Intensive Text Processing With MapReduce (which gave me a good intro to the Map Reduce algorithm, but wasn't that useful once I had a general idea what was going on).
I've some hadoop experience, and I'm finding this book hard to read because of the author's style and lack of organization. I would not recommend this book to a beginner looking to learn about Hadoop. The author goes deeply into some topics while referencing topics that have not been covered yet.That said, I haven't found any more complete book on Hadoop. This is packed with great information, but you might have to read it through more than once. It's best use, in my opinion, would be as a reference book.
I had read all the positive reviews and really had high hopes for the book, waited for the 3rd edition thinking it would be current, but I've mainly felt frustration in reading it once past the first few chapters.Reference to the Bible in other reviews are apt. The book is a mishmash of chapters with a wide variety of styles and intents. The writing giving the overview is great. But other chapters are a reference manual dump with little motivation. Other chapters tried to be guided tutorial, but lacked in important details (or were out dated by changes). Wish it could have been written with a clearer editorial point of view, or better organized in sections with similar purposes.Keeping up with a such a fast moving project with a paperback book is no doubt a difficult task. I didn't feel the book did a good job of dealing with the changes that happened with the shift to 1.x .Most frustrating were the mentions of the "book's website" as a source of up-to-date information. Which website? (hadoopbook.com, oreilly.com, github.com). Wouldn't it make sense to use a URL instead of the phrase "book's website?"Minor complaint, don't like the code listings without filenames.Expect to find a lot of time looking for stuff on the web that should have been included in the book or at least documented with a concrete URLs.There are certainly example of truly fine technical writing in the book. Just wish that level could have been maintained through out the book.
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