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
Group Author: Darmont, Jérôme, 1972; Loudcher, Sabine, 1969
Published: IGI Global,
Publisher Address: Hershey, PA :
Publication Dates: [2019]
Literature type: Book
Language: English
Series: Advances in business information systems and analytics (ABISA) book series,
Subjects:
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: "Premier reference source"--cover.
Carrier Form: xxii, 313 pages : illustrations, forms ; 27 cm.
Bibliography: Includes bibliographical references (pages 270-304) and index.
ISBN: 9781522549635 (hardback) :
1522549633 (hardback)
Index Number: HD38
CLC: TP311.131
F713.51-37
Call Number: F713.51-37/U899