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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Language: English
Published by O'Reilly Media (edition 1), 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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MapReduce Design Patterns : Building Effective Algorithms and Analytics for Hadoop and Other Systems
Language: English
Published by O'Reilly Media, Incorporated, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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MapReduce Design Patterns
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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Language: English
Published by O'Reilly Vlg. Gmbh & Co., 2012
ISBN 10: 1449358551 ISBN 13: 9781449358556
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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Language: English
Published by O'Reilly Media 22/12/2012, 2012
ISBN 10: 1449327176 ISBN 13: 9781449327170
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MapReduce Design Patterns
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MapReduce Design Patterns
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MapReduce Design Patterns
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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Language: English
Published by O'Reilly Media, Inc, USA, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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MapReduce Design Patterns
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MapReduce Design Patterns
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First Edition
Condition: New. 2012. 1st Edition. Paperback. 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. Num Pages: 252 pages, Illustrations. BIC Classification: UM; UT. Category: (XV) Technical / Manuals. Dimension: 179 x 234 x 13. Weight in Grams: 442. . . . . .
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MapReduce Design Patterns (Paperback or Softback)
Language: English
Published by O'Reilly Media 12/22/2012, 2012
ISBN 10: 1449327176 ISBN 13: 9781449327170
Paperback or Softback. Condition: New. MapReduce Design Patterns. Book.
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Condition: New. 2012. 1st Edition. Paperback. 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. Num Pages: 252 pages, Illustrations. BIC Classification: UM; UT. Category: (XV) Technical / Manuals. Dimension: 179 x 234 x 13. Weight in Grams: 442. . . . . . Books ship from the US and Ireland.
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Mapreduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Language: English
Published by Oreilly & Associates Inc, 2012
ISBN 10: 1449327176 ISBN 13: 9781449327170
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 1st edition. 232 pages. 9.25x7.00x0.75 inches. In Stock.
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paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Condition: New. 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.Until now, design patterns for the MapReduce framework have .
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MapReduce Design Patterns
Language: English
Published by O'reilly Media Jan 2013, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
Taschenbuch. Condition: Neu. Neuware - 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. Summarization patterns: get a top-level view by summarizing and grouping data Filtering patterns: view data subsets such as records generated from one user Data organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easier Join patterns: analyze different datasets together to discover interesting relationships Metapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same job Input and output patterns: customize the way you use Hadoop to load or store data'A clear exposition of MapReduce programs for common data processing patterns - this book is indespensible for anyone using Hadoop.'--Tom White, author of Hadoop: The Definitive Guide.
