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Utilizing Big Data Paradigms for Business Intelligence

Media-Kombination
313 Seiten
2018
Business Science Reference
978-1-5225-7106-3 (ISBN)
276,30 inkl. MwSt
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Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five “Vs” of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.

Jérôme Darmont received his Ph.D. in computer science from the University of Clermont-Ferrand II, France in 1999. He joined the University of Lyon 2, France in 1999 as an associate professor, and became full professor in 2008. He was head of the Decision Support Databases research group within the ERIC laboratory from 2000 to 2008, and has been director of the Computer Science and Statistics Department of the School of Economics and Management since 2003. His current research interests mainly relate to performance in database management systems and data warehouses (performance optimization, auto-administration, benchmarking...), but also include XML and complex data warehousing and mining, and medical or health-related applications.

Erscheint lt. Verlag 10.8.2018
Reihe/Serie Advances in Business Information Systems and Analytics
Sprache englisch
Maße 178 x 254 mm
Themenwelt Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Wirtschaft Volkswirtschaftslehre
ISBN-10 1-5225-7106-X / 152257106X
ISBN-13 978-1-5225-7106-3 / 9781522571063
Zustand Neuware
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