Utilizing big data paradigms for business intelligence

Jerome Darmont and Sabine Loudcher

"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:	[2019]
Other Persons:	Darmont, Jérôme (ed.) ; Loudcher, Sabine (ed.)
Publisher:	Hershey, PA : IGI Global, Business Science Reference
Subject:	Big Data \| Big data \| Informationsmanagement \| Information management \| Künstliche Intelligenz \| Artificial intelligence \| Datenschutz \| Data protection \| Betriebliches Informationssystem \| Business intelligence system \| Prognose \| Forecast \| Softwareentwicklung \| Software development
Description of contents:	Table of Contents [gbv.de]

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Extent:	xxii, 313 Seiten Illustrationen
Series:	Advances in business information systems and analytics (ABISA) book series Premier reference source
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Sammelwerk ; Collection of articles of several authors
Language:	English
Notes:	Enthält 8 Beiträge Includes index
ISBN:	978-1-5225-4963-5 ; 978-1-5225-4964-2
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011750874