MapReduce design patterns (Record no. 44558)

MARC details
000 -LEADER
fixed length control field 01905 a2200193 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781491927922
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74 MIN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Miner, Donald.
245 ## - TITLE STATEMENT
Title MapReduce design patterns
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Shroff Publishers and distributed Pvt. Ltd.
Place of publication, distribution, etc Mumbai
Date of publication, distribution, etc 2013
300 ## - PHYSICAL DESCRIPTION
Extent 232
520 ## - SUMMARY, ETC.
Summary, etc 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
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software patterns
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer algorithms
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Apache Hadoop
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MapReduce (Computer file)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shook, Adam
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.