MapReduce Design Patterns

Building Effective Algorithms and Analytics for Hadoop and Other Systems

Donald Miner,

MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
 

About the eBook

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

Show more



In The Press


About the Author


  • Publisher:
  • Published: ; Copyright:
  • ISBN:
  • Edition:
  • Title:
  • Series:
  • Author:
  • Imprint:
  • Language:
  • Number of Pages:  [disclaimer] Page count shown is an approximation provided by the publisher. The actual page count will vary based on various factors such your device's screen size and font-size.

Read online

You can read this ebook online in a web browser, without downloading anything or installing software.

Download file formats

This ebook is available in file types:

This ebook is available in:

After you've bought this ebook, you can choose to download either the PDF version or the ePub, or both.

DRM Free

The publisher has supplied this book in DRM Free form with digital watermarking.

Required software

You can read this eBook on any device that supports DRM-free EPUB or DRM-free PDF format.

Digital Rights Management (DRM)

The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.

Required software

To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:

To download and read this eBook on a PC or Mac:

  • Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

Limits on printing and copying

The publisher has set limits on how much of this ebook you may print or copy. See details.

  • {{ format_drm_information.format_name }} unrestricted {{ format_drm_information.format_name }} {{format_drm_information.page_percent}}% pages every day{{format_drm_information.interval}} days {{ format_drm_information.format_name }} off
Read Aloud
  • {{ read_aloud_information.format_name }} on {{ read_aloud_information.format_name }} off
Subject categories
  •  > 
ISBNs