Utilizing big data paradigms for business intelligence

Jerome Darmont and Sabine Loudcher, editors.

"This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data warehousing, online analytical processing (OLAP), reporting, data mining and machine learning"--

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Year of publication:	2018
Other Persons:	Darmont, Jâerãome (ed.) ; Loudcher, Sabine (ed.)
Institutions:	IGI Global (publisher)
Publisher:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global
Subject:	Management-Informationssystem \| Management information system \| Data Mining \| Data mining \| Betriebliches Informationssystem \| Business intelligence system

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Extent:	1 Online-Ressource(19 PDFs (xxii, 313 pages))
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Includes index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Also available in print.
ISBN:	978-1-5225-4964-2 ; 1-5225-4963-3 ; 978-1-5225-4963-5 ; 978-1-5225-4963-5
Other identifiers:	10.4018/978-1-5225-4963-5 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393209