Rating:
(10 reviews)
Author: Visit Amazon's Chuck Lam Page
ISBN : 1935182196
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Format: PDF
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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.
Download latest books on mediafire and other links compilation Free Hadoop in Action Paperback
- Series: In Action
- Paperback: 325 pages
- Publisher: Manning Publications (December 22, 2010)
- Language: English
- ISBN-10: 1935182196
- ISBN-13: 978-1935182191
- Product Dimensions: 7.2 x 9.2 inches
- Shipping Weight: 1.3 pounds (View shipping rates and policies)
Free Hadoop in Action
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.