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  • Book Overview & Buying Optimizing Hadoop for MapReduce
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Optimizing Hadoop for MapReduce

Optimizing Hadoop for MapReduce

By : Khaled Tannir
4.3 (4)
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Optimizing Hadoop for MapReduce

Optimizing Hadoop for MapReduce

4.3 (4)
By: Khaled Tannir

Overview of this book

Table of Contents (15 chapters)
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About the Reviewers

Włodzimierz Bzyl works at the University of Gdańsk, Poland. His current interests include web-related technologies and NoSQL databases. He has a passion for new technologies and introduces his students to them. He enjoys contributing to open source software and spending time trekking in the Tatra mountains.

Craig Henderson graduated in 1995 with a degree in Computing for Real-time Systems and has spent his career working on large-scale data processing and distributed systems. He is the author of an open source C++ MapReduce library for single server application scalability, which is available at https://github.com/cdmh/mapreduce, and he currently researches image and video processing techniques for person identification.

Mark Kerzner holds degrees in Law, Mathematics, and Computer Science. He has been designing software for many years and Hadoop-based systems since 2008. He is the President of SHMsoft, a provider of Hadoop applications for various verticals, a co-founder of the Hadoop Illuminated training and consulting, and also the co-author of the open source book, Hadoop Illuminated. He has also authored and co-authored other books and patents.

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