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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"...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
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