Big data processing with Hadoop

This book outlines the overview of the Big data. It presents the big data components organized as four layers such as: big data sources, data massaging and store layer, analysis layer, and consumption layer. It also gives a detailed knowledge of Hadoop platform.

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Bibliographic Details
Main Authors: Revathi, T. (Author), Muneeswaran, K. (Author), Pepsi, M. Blessa Binolin (Author)
Format: Book
Language:English
Published: Hershey, PA, USA Engineering Science Reference (an imprint of IG Global) 2019
Series:Advances in data mining and database management (ADMDM) book series
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245 1 0 |a Big data processing with Hadoop  |c T. Revathi , K. Muneeswaran , M. Blessa Binolin Pepsi 
264 1 |a Hershey, PA, USA  |b Engineering Science Reference (an imprint of IG Global)  |c 2019 
264 4 |c © 2019 
300 |a x, 244 pages  |b illustrations  |c 27 cm 
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338 |a volume  |2 rdacarrier 
490 0 |a Advances in data mining and database management (ADMDM) book series 
504 |a Includes bibliographical references and index 
505 0 |a Chapter 1-Big data overview -- Chapter 2-Big data archictecture components -- Chapter 3-Hadoop history and architecture -- Chapter 4-Hadoop setup -- Chapter 5-Hadoop distributed file systems (HDFS) -- Chapter 6-YARN -- Chapter 7-Hadoop mapreduce programming -- Chapter 8-Mapreduce and YARN API -- Chapter 9-Hadoop tools 
520 |a This book outlines the overview of the Big data. It presents the big data components organized as four layers such as: big data sources, data massaging and store layer, analysis layer, and consumption layer. It also gives a detailed knowledge of Hadoop platform. 
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700 1 |a Muneeswaran, K.  |e author 
700 1 |a Pepsi, M. Blessa Binolin  |e author 
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