Big data processing with Hadoop

T. Revathi (Mepco Schlenk Engineering College, India), K. Muneeswaran (Mepco Schlenk Engineering College, India), M. Blessa Binolin Pepsi (Mepco Schlenk Engineering College, India)

"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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Year of publication:	[2019]
Authors:	Revathi, T. ; Muneeswaran, K. ; Pepsi, M. Blessa Binolin
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Data Mining \| Data mining \| Big Data \| Big data \| Prozessmanagement \| Business process management \| Hadoop

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Extent:	1 Online-Ressource (x, 244 Seiten)
Series:	Advances in data mining and database management (ADMDM) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 10/18/2018) Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web 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 Also available in print.
ISBN:	978-1-5225-3791-5 ; 1-5225-3790-2 ; 978-1-5225-3790-8
Other identifiers:	10.4018/978-1-5225-3790-8 [DOI]
Classification:	Datenbanken
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393195