John R. Talburt , Yinle Zhou (Contributor)

Entity Information Life Cycle for Big Data: Master Data Management and Information Integration

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ISBN 13:: 9780128005378
author:: John R. Talburt , Yinle Zhou (Contributor)
format:: Paperback
publisher:: Morgan Kaufmann
language:: English
Publication Year:: 2015
Pages:: 254
Dimensions:: 19 x 1.5 x 23.5 cm
Genre:: Computing & Internet, Databases, Data Storage & Management
Condition:: New
Availability:: Item usually sent within 10 working days

£53.59

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Description

Description

Entity Information Life Cycle for Big Data: Master Data Management and Information Integration by Talburt, John R. and Zhou, Yinle provides a thorough understanding of managing entity information in the era of big data. This book explains how to successfully achieve master data management (MDM) by explaining the critical role of entity information management system (EIMS) in MDM. Expert authors provide practical tips and techniques for implementing an EIMS, as well as strategies for exploiting distributed processing to handle big data. The book also covers additional topics such as the theory of EIIM, methods for assessing and evaluating EIMS performance, and the business value and impact of entity information management system (EIMS). With its focus on practical guidance and real-world examples, this book is suitable for use in courses on entity and identity management, data management, customer relationship management (CRM), and related topics.

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