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Entity Information Life Cycle for Big Data
Master Data Management and Information Integration
Discover the details of managing entity information to successfully achieve master data management (MDM) in the era of big data. “Entity resolution and identity information management are the major challenges in master data management. John Talburt and Yinle Zhou have synthesized their considerable expertise to address this challenge in the era of big data. Anyone who wants to manage data strategically should start here.” – Laura Sebastian-Coleman, Data Quality Center of Excellence Lead, Cigna
John R. Talburt (Author), Yinle Zhou (Author)
9780128005378, Elsevier Science
Paperback, published 24 April 2015
254 pages
23.4 x 19 x 1.7 cm, 0.54 kg
"...good as a textbook and also as independent reading for professionals in the sector. The references where the solutions and methods treated were originally presented are included so that they can be found for further reading…a highly recommended book." --Computing Reviews "... covers MDM in a traditional manner, that is, maintaining current entity identity information, very well, and it can be recommended to advanced MDM practitioners (and advanced students of databases and data warehouses)." --Computing Reviews
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.
1. The Value Proposition for MDM and Big Data?2. What is entity information lifecycle management?3. Metrics for Quantifying Entity Integrity4. Identity Capture Deep Dive5. Identity Archiving and Disposal6. Identity Resolution7. Identity Update8. CSRUD for Big Data9. Toward Big Data Analytics10. Final Thoughts
