TY  - BOOK
AU  - Talburt,John R.
AU  - Zhou,Yinle
TI  - Entity information life cycle for big data: master data management and information integration 
SN  - 9780128005378
AV  - CIR HD 30.215 T35 2015
PY  - 2015///
CY  - Waltham, MA
PB  - Elsevier/Morgan Kaufmann
KW  - Big data
KW  - Semantic Web
KW  - Pattern recognition systems
KW  - Data mining
N1  - Includes bibliographical references and index
N2  - 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
ER  -