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Optimizing Hadoop for MapReduce

You're reading from   Optimizing Hadoop for MapReduce This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.

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Product type Paperback
Published in Feb 2014
Publisher
ISBN-13 9781783285655
Length 120 pages
Edition Edition
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Author (1):
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Khaled Tannir Khaled Tannir
Author Profile Icon Khaled Tannir
Khaled Tannir
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Summary


In this chapter, we learned about the best practices of Hadoop MapReduce optimization. In order to improve the job performance of Hadoop, several recommendations and tips were presented in the form of checklists, which will help you to ensure that your Hadoop cluster is well configured and dimensioned.

This concludes our journey of learning to optimize and enhance our MapReduce job performance. I hope you have enjoyed it as much as I did. I encourage you to keep learning more about the topics covered in this book using the MapReduce published papers on Google, Hadoop's official website, and other sources on the Internet. Optimizing a MapReduce job is an iterative and repeatable process that you need to do before finding out its optimum performance. Also, I recommend that you try different techniques to figure out which tuning solutions are most efficient in the context of your job and try combining different optimization techniques!

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