Media praise for MapReduce Design Patterns

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"By reading through this title, I now better understand how I can use Pig and Hive for the straight forward analytics and MapReduce native for my more specialized needs – or in other words – use the right tool for the job."
-- Jason C Armstrong, Jason Armstrong blog, Manager of Software Development

"Although the MapReduce programming model is deceptively simple, using it to solve real problems at scale effectively requires a different way of thinking. MapReduce Design Patterns clearly delivers the insight previously gained only after years of experience."
-- Tom Wheeler, Curriculum Developer, Cloudera, Inc.

"A clear exposition of MapReduce programs for common data processing patterns--this book is indispensable for anyone using Hadoop."
-- Tom White, Author of Hadoop: The Definitive Guide

"Good choice if you need to implement something and don't have enough of knowledge."
-- Andriy Andrunevchyn, http://jug-lviv.blogspot.com, Lead of JUG (Java User Group) of Lviv

"This book provides useful background on the use of MapReduce and Hadoop, but it is not a tutorial for developers new to those tools; the book assumes prior knowledge and experience...Although Google has moved on and replaced its MapReduce implementation with the more scalable Dataflow, there are still many current big data problems applicable to MapReduce. For those experienced developers working on such implementations, this book is a useful reference."
-- Harry J. Foxwell, Computing Reviews



"By reading through this title, I now better understand how I can use Pig and Hive for the straight forward analytics and MapReduce native for my more specialized needs – or in other words – use the right tool for the job."
--Jason C Armstrong, Jason Armstrong blog, Manager of Software Development