MapReduce design patterns
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 framew...
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Other Authors: | , , , |
Format: | eBook |
Language: | Inglés |
Published: |
Sebastopol, California :
O'Reilly
December 2012
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Edition: | First edition |
Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628569006719 |
Summary: | 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 de |
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Item Description: | Includes index. "Building effective algorithms and analytics for Hadoop and other systems"--Cover. |
Physical Description: | 1 online resource (251 p.) |
ISBN: | 9781449341985 9781449341954 9781449341961 9781306811125 9781449341992 |