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Big Data with Hadoop MapReduce

Big Data with Hadoop MapReduce

A Classroom Approach

by Rathinaraja Jeyaraj, Anand Paul and Ganeshkumar Pugalendhi
Hardback
Publication Date: 15/01/2020
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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

ISBN:
9781771888349
9781771888349
Category:
Information technology: general issues
Format:
Hardback
Publication Date:
15-01-2020
Language:
English
Publisher:
Apple Academic Press, Incorporated
Country of origin:
Canada
Dimensions (mm):
234.95x155.57mm

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You can find this item in:

Mathematics Information technology: general issues Computer certification Databases Business mathematics & systems Science: general issues
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