Название: MapReduce Design PatternsАвтор: Donald Miner, Adam Shook
Издательство: O'Reilly Media
Год: 2012
ISBN: 9781449327170 / 1449327176
Формат: pdf
Страниц: 256
Размер: 10,4 mb
Язык: English
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.