Rathinaraja (National Institute of Technology, India) Jeyaraj & Anand Paul 
Big Data with Hadoop MapReduce [PDF ebook] 
A Classroom Approach

The authors provide an understanding of big data and Map Reduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of Map Reduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop Map Reduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc.

Ultimately, readers will be able to:

• understand what big data is and the factors that are involved

• understand the inner workings of Map Reduce, which is essential for certification exams

• learn the features and weaknesses of Map Reduce

• set up Hadoop clusters with 100s of physical/virtual machines

• create a virtual machine in AWS

• write Map Reduce with Eclipse in a simple way

• understand other big data processing tools and their applications