Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You’ll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book’s examples create a well-structured and understandable codebase you can tweak to meet your own needs.
- Conceptual overview of Hadoop and MapReduce
- 85 practical, tested techniques
- Real problems, real solutions
- How to integrate MapReduce and R
Alex Holmes is a senior software engineer with extensive expertise in solving big data problems using Hadoop. He has presented at JavaOne and Jazoon and is a technical lead at VeriSign