Entity information life cycle for big data : master data management and information integration / John R. Talburt, Yinle Zhou
Publication details: Waltham, MA : Elsevier/Morgan Kaufmann, 2015.Description: xviii, 235 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9780128005378
- CIR HD 30.215 T35 2015
Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|
Manila Tytana Colleges Library CIRCULATION SECTION | CIR HD 30.215 T35 2015 (Browse shelf(Opens below)) | Available | 035198 |
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CIR HD 30.215 H55 2005 Basic statistical ideas for managers / | CIR HD 30.215 K45 2005 Statistics for management and economics / | CIR HD 30.215 K83 2006 Concise managerial statistics / | CIR HD 30.215 T35 2015 Entity information life cycle for big data : master data management and information integration / | CIR HD 30.215 W56 2004 Microsoft Excel data analysis and business modeling / | CIR HD 30.22 B39 2006 Managerial economics and business strategy / | CIR HD 30.22 B39 2006 Managerial economics and business strategy / |
Includes bibliographical references and index
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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