
Enterprise Big Data Engineering, Analytics, and Management
Information Science Reference (Publisher)
Published on 1. June 2016
Book
Hardback
300 pages
978-1-5225-0293-7 (ISBN)
Description
The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.
More details
Series
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
Professional and scholarly
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 20 mm
Weight
1005 gr
ISBN-13
978-1-5225-0293-7 (9781522502937)
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Schweitzer Classification
Persons
Martin Atzmueller, University of Kassel, Germany.
Samia Oussena, University of West London, UK.
Thomas Roth-Berghofer, University of West London, UK.
Samia Oussena, University of West London, UK.
Thomas Roth-Berghofer, University of West London, UK.