Recipes for analyzing large and complex datasets with Hadoop MapReduce
Learn to process large and complex data sets, starting simply, then diving in deep
Solve complex big data problems such as classifications, finding relationships, online marketing and recommendations.
More than 50 Hadoop MapReduce recipes, presented in a simple and straightforward manner, with step-by-step instructions and real world examples.

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.

Writing and Querying MapReduce Views in CouchDB /by Bradley Holt. If you want to use CouchDB to support real-world applications, you'll need to create MapReduce views that let you query this document-oriented database for meaningful data. With this short and concise ebook, you'll learn how to create a variety of MapReduce views to help you query and aggregate data in CouchDB’s large, distributed datasets.