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Big data processing with Hadoop

Muneeswaran, K.,

Big data processing with Hadoop

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data processing with Hadoopby T. Revathi, K. Muneeswaran, and M. Blessa Binolin Pepsi.
作者:	Revathi, T.,
其他作者:	Muneeswaran, K.,
出版者:	Hershey, Pennsylvania :IGI Global,[2018]
面頁冊數:	1 online resource (x, 244 p.)
標題:	Big data.
電子資源:	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:

609582
Big data.

LC Class. No.: QA76.9.B45 / R485 2018e

Dewey Class. No.: 005.7

Big data processing with Hadoop
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245 1 0 $a Big data processing with Hadoop $h [electronic resource] / $c by T. Revathi, K. Muneeswaran, and M. Blessa Binolin Pepsi.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (x, 244 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $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"--Provided by publisher.
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700 1 $a Pepsi, M. Blessa Binolin, $d 1990- $e author. $3 843736
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3790-8