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MapReduce Design Patterns

Building Effective Algorithms and Analytics for Hadoop and Other Systems This link for educational purpose only. Please remove file from your computer after familiarization.

Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.

Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. All code examples are written for Hadoop.

Book year:

Book pages: 252

ISBN: 978-1-4493-2717-0

Book language: en

File size: 5.46 MB

File type: pdf

Published: 14 May 2019 - 14:29