|Title||MapReduce Design Patterns|
|Sub Title||Building Effective Algorithms and Analytics for Hadoop and Other Systems|
|Author||Adam Shook Donald Miner|
|Category||Computer & Programming|
|Tags||Big Data Data Mining|
|File Size||5.5 MB|
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.