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Big data processing with Hadoop
~
Pepsi, M. Blessa Binolin, (1990-)
Big data processing with Hadoop
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Big data processing with Hadoop/ by T. Revathi, K. Muneeswaran, and M. Blessa Binolin Pepsi.
Author:
Revathi, T.,
other author:
Muneeswaran, K.,
Published:
Hershey, Pennsylvania :IGI Global, : [2018],
Description:
1 online resource (x, 244 p.)
Subject:
Big data. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3790-8
ISBN:
9781522537915 (e-book)
Big data processing with Hadoop
Revathi, T.,1965-
Big data processing with Hadoop
[electronic resource] /by T. Revathi, K. Muneeswaran, and M. Blessa Binolin Pepsi. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (x, 244 p.)
Includes bibliographical references and index.
Chapter 1. Big data overview -- Chapter 2. Big data architecture components -- Chapter 3. Hadoop history and architecture -- Chapter 4. Hadoop setup -- Chapter 5. Hadoop distributed file system (HDFS) -- Chapter 6. YARN -- Chapter 7. Hadoop mapreduce programming -- Chapter 8. Mapreduce and YARN API -- Chapter 9. Hadoop tools -- Chapter 10. Hadoop auth.
Restricted to subscribers or individual electronic text purchasers.
"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"--Provided by publisher.
ISBN: 9781522537915 (e-book)Subjects--Uniform Titles:
Apache Hadoop.
Subjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45 / R485 2018e
Dewey Class. No.: 005.7
Big data processing with Hadoop
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Big data processing with Hadoop
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[electronic resource] /
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by T. Revathi, K. Muneeswaran, and M. Blessa Binolin Pepsi.
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Hershey, Pennsylvania :
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IGI Global,
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[2018]
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1 online resource (x, 244 p.)
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Includes bibliographical references and index.
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Chapter 1. Big data overview -- Chapter 2. Big data architecture components -- Chapter 3. Hadoop history and architecture -- Chapter 4. Hadoop setup -- Chapter 5. Hadoop distributed file system (HDFS) -- Chapter 6. YARN -- Chapter 7. Hadoop mapreduce programming -- Chapter 8. Mapreduce and YARN API -- Chapter 9. Hadoop tools -- Chapter 10. Hadoop auth.
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Restricted to subscribers or individual electronic text purchasers.
520
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"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"--Provided by publisher.
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Apache Hadoop.
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Muneeswaran, K.,
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Pepsi, M. Blessa Binolin,
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3790-8
based on 0 review(s)
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