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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
Buy this Book

Overview of this book

Table of Contents (15 chapters)
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Optimizing Hadoop for MapReduce
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Optimizing Hadoop for MapReduce
Credits
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Credits
About the Author
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About the Author
Acknowledgments
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Acknowledgments
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
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1
Understanding Hadoop MapReduce
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Understanding Hadoop MapReduce
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The MapReduce model
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An overview of Hadoop MapReduce
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Hadoop MapReduce internals
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Factors affecting the performance of MapReduce
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Summary
2
An Overview of the Hadoop Parameters
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An Overview of the Hadoop Parameters
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Investigating the Hadoop parameters
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Hadoop MapReduce metrics
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Performance monitoring tools
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Summary
3
Detecting System Bottlenecks
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Detecting System Bottlenecks
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Performance tuning
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Creating a performance baseline
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Identifying resource bottlenecks
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Summary
4
Identifying Resource Weaknesses
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Identifying Resource Weaknesses
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Identifying cluster weakness
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Sizing your Hadoop cluster
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Configuring your cluster correctly
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Summary
5
Enhancing Map and Reduce Tasks
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Enhancing Map and Reduce Tasks
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Enhancing map tasks
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Enhancing reduce tasks
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Tuning map and reduce parameters
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Summary
6
Optimizing MapReduce Tasks
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Optimizing MapReduce Tasks
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Using Combiners
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Using compression
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Using appropriate Writable types
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Reusing types smartly
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Optimizing mappers and reducers code
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Summary
7
Best Practices and Recommendations
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Best Practices and Recommendations
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Hardware tuning and OS recommendations
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Hadoop best practices and recommendations
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Summary
1
Index
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Index

Acknowledgments

All praise is due to Allah, the Lord of the Worlds. First, I must thank Allah for giving me the ability to think and write.

Next, I would like to thank my wife, Laila, for her big support, encouragement, and patience throughout this project. Also, I would like to thank my family in Canada and Lebanon for their support during the writing of this book.

I would like to thank everyone at Packt Publishing for their help and guidance, and for giving me the opportunity to share my experience and knowledge in technology with others in the Hadoop and MapReduce community.

Thank you as well to the technical reviewers, who provided great feedback to ensure that every tiny technical detail was accurate and rich in content.

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Programming languages
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