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...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Miner, Donald
Weitere Verfasser:
Shook, Adam, Oram, Andrew, Hendrickson, Mike, Demarest, Rebecca
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Sebastopol, California : O'Reilly, December 2012
Ausgabe:
First edition.
Zusammenfassung:
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
Umfang:
1 online resource (251 p.)
text file
Anmerkungen:
Includes index.
"Building effective algorithms and analytics for Hadoop and other systems"--Cover.
Anmerkungen:
English
ISBN:
9781449341985
1449341985
9781449341954
1449341950
9781449341961
1449341969
9781306811125
1306811120
9781449341992
1449341993
Schlagworte:
Links: