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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 er… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.IT managers and software developers as well as graduate and undergraduate students in computer science, information science, business computer information systems, and management information systems
Chapter 1. The Value Proposition for MDM and Big Data
Chapter 2. Entity Identity Information and the CSRUD Life Cycle Model
Chapter 3. A Deep Dive into the Capture Phase
Chapter 4. Store and Share – Entity Identity Structures
Chapter 5. Update and Dispose Phases – Ongoing Data Stewardship
Chapter 6. Resolve and Retrieve Phase – Identity Resolution
Chapter 7. Theoretical Foundations
Chapter 8. The Nuts and Bolts of Entity Resolution
Chapter 9. Blocking
Chapter 10. CSRUD for Big Data
Chapter 11. ISO Data Quality Standards for Master Data
Appendix A. Some Commonly Used ER Comparators
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