Can I read Big Data with Hadoop MapReduce : A Classroom Approach on EtoBox?

Big Data with Hadoop MapReduce : A Classroom Approach by Rathinaraja Jeyaraj, Ganeshkumar Pugalendhi, Anand Paul is a nonfiction available to read on EtoBox.

What is Big Data with Hadoop MapReduce : A Classroom Approach about?

The authors provide an understanding of big data and MapReduce 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 MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop MapReduce 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 MapReduce, which is essential for certification exams • learn the features and weaknesses of MapReduce • set up Hadoop clusters with 100s of physical/virtual machines • create a virtual machine in AWS • write MapReduce with Eclipse in a simple way • understand other big data processing tools and their applications

Who reads Big Data with Hadoop MapReduce : A Classroom Approach?

Author

Rathinaraja Jeyaraj, Ganeshkumar Pugalendhi, Anand Paul

Publisher

Apple Academic Press Inc.

Published

2020

Language

EN

ISBN

9781774634844

Category

nonfiction

Subjects

Management, Computer Science, Science