
Entity Information Life Cycle for Big Data : Master Data Management and Information Integration Paperback / softback
by John R. (Professor of Information Science, University of Arkansas at Little Rock, AR, USA) Talburt, Yinle (Software Engineer, IBM InfoSphere Master Data Management, Austin, TX, USA) Zhou
Paperback / softback
Description
Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data.
This book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful MDM.
Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications.
Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:254 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/04/2015
- Category:
- ISBN:9780128005378
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:254 pages
- Publisher:Elsevier Science & Technology
- Publication Date:24/04/2015
- Category:
- ISBN:9780128005378