Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies, 7) 1st Edition

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 a good intro to the Map Reduce algorithm, but once I got my head around that I didn't use it very much (probably because my problem space was nothing like the sort of text processing that the book focuses on).

The book is educating and, hopefully, will be helpful for writing map-reduce programs. It concentrates not on API, but on algorithms, which is rare and should be appreciated. Text-processing is a good example of data-intensive processing, but the book may be useful in many other fields.

So far I studied upto chapter 3. This book is very much helpful to get good insight about the Mapper, reducer, combiner and partitioner. I almost highlighted most of the lines in this as important points in chapter 2 and 3.