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Entity Information Life Cycle for Big Data: Master Data Management and Information Integration
Paperback
ISBN13: 9780128005378
Publisher: Morgan Kaufmann Publishers
Published: Apr 23 2015
Pages: 254
Weight: 1.15
Height: 0.70 Width: 7.40 Depth: 9.10
Language: English
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.
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