Title Statements
- Full title :MapReduce design patterns / Donald Miner and Adam Shook.
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.
Read More ↓Edition Statements
- Publication Date:©2013.
Publication Statements
- Publisher(s):O'Reilly
- Place of Publication:Sebastopol, CA
- Language:eng
- Publication Date:©2013.
Notes
Includes index.
The Physical Object
- Description:1 online resource (xvi, 232 pages): : illustrations (chiefly color)
Edition Identifiers
- ISBN:9781449341992, 1449341993, 9781449341985, 1449341985
- oclc:ocn850380681
- LC Classification:QA76.76.P37
- Dewey Decimal:005.12
Table of Contents
1. Design Patterns and MapReduce --- 2. Summarization Patterns --- 3. Filtering Patterns --- 4. Data Organization Patterns --- 5. Join Patterns --- 6. Metapatterns --- 7. Input and Output Patterns --- 8. Final Thoughts and the Future of Design Patterns ---- A. Bloom Filters.
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