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Enterprise Big Data Engineering, Analytics, and Management
By Samia Oussena (editor), Thomas Roth-berghofer (editor) and Martin Arzmueller (editor)
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Bibliographic Detail
Publisher Business Science Reference
Publication date June 30, 2016
Pages 300
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9781522502937
ISBN-10 1522502939
Dimensions 0 by 8.50 by 11 in.
Original list price $205.00
Summaries and Reviews
Amazon.com description: Product 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.



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Hardcover
Book cover for 9781522502937
 
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With Martin Arzmueller (other contributor), Samia Oussena (other contributor) | from Business Science Reference (June 30, 2016)
9781522502937 | details & prices | 300 pages | List price $205.00
About: The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics.

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