Utilizing big data paradigms for business intelligence:

"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), dat...

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Bibliographic Details
Other Authors: Darmont, Jérôme 1972- (Editor), Loudcher, Sabine (Editor)
Format: Electronic eBook
Language:English
Published: Hershey PA, USA IGI Global, Disseminator of Knowledge [2019]
Series:A volume in the Advances in business information systems and analytics (ABISA) book series
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Online Access:DE-1050
DE-573
DE-898
DE-1049
DE-91
DE-19
DE-20
DE-706
DE-83
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Summary:"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"...
Item Description:Includes index
Physical Description:1 Online-Ressource (xxii, 313 Seiten) Illustrationen
ISBN:9781522549642
ISSN:2327-3283
DOI:10.4018/978-1-5225-4963-5

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