Big Data with Hadoop MapReduce: A Classroom Approach

October 31, 2020
Big Data with Hadoop MapReduce: A Classroom Approach

The authors provide an understanding of big data and MapReduceby clearly presenting the basic terminologies and concepts. Theyhave employed over 100 illustrations and many worked-out examplesto convey the concepts and methods used in big data, the innerworkings of MapReduce, and single node/multi-node installation onphysical/virtual machines. This book covers almost all thenecessary information on Hadoop MapReduce for most onlinecertification exams. Upon completing this book, readers will findit easy to understand other big data processing tools such asSpark, Storm, etc.Ultimately, readers will be able to:• understand what big data is and the factors that areinvolved• understand the inner workings of MapReduce, which is essentialfor certification exams• learn the features and weaknesses of MapReduce• set up Hadoop clusters with 100s of physical/virtualmachines• create a virtual machine in AWS• write MapReduce with Eclipse in a simple way• understand other big data processing tools and theirapplications