Entity information life cycle for big data master data management and information integration

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...

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Bibliographic Details
Other Authors: Talburt, John R., author (author), Zhou, Yinle, author
Format: eBook
Language:Inglés
Published: Amsterdam, [Netherlands] : Morgan Kaufmann 2015.
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628931406719
Description
Summary: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 hand
Item Description:Description based upon print version of record.
Physical Description:1 online resource (255 p.)
Bibliography:Includes bibliographical references and index.