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Big Data with Hadoop MapReduce
by
Paul, Anand
, Jeyaraj, Rathinaraja
, Pugalendhi, Ganeshkumar
in
Apache Hadoop
/ Big data
/ Database management
/ Information Technology
/ IT Security
/ Management of IT
2021,2020
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Do you wish to request the book?
Big Data with Hadoop MapReduce
by
Paul, Anand
, Jeyaraj, Rathinaraja
, Pugalendhi, Ganeshkumar
in
Apache Hadoop
/ Big data
/ Database management
/ Information Technology
/ IT Security
/ Management of IT
2021,2020
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eBook
Big Data with Hadoop MapReduce
2021,2020
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Overview
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
Publisher
CRC Press,Apple Academic Press,Apple Academic Press, Incorporated
Subject
ISBN
1771888342, 9781771888349, 9781774634844, 1774634848
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