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Entity Information Life Cycle For Big Data Master Data Management And Information Integration 1st Edition John R Talburt

  • SKU: BELL-5138562
Entity Information Life Cycle For Big Data Master Data Management And Information Integration 1st Edition John R Talburt
$ 31.00 $ 45.00 (-31%)

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Entity Information Life Cycle For Big Data Master Data Management And Information Integration 1st Edition John R Talburt instant download after payment.

Publisher: Morgan Kaufmann
File Extension: PDF
File size: 6.51 MB
Pages: 254
Author: John R. Talburt, Yinle Zhou
ISBN: 9780128005378, 0128005378
Language: English
Year: 2015
Edition: 1

Product desciption

Entity Information Life Cycle For Big Data Master Data Management And Information Integration 1st Edition John R Talburt by John R. Talburt, Yinle Zhou 9780128005378, 0128005378 instant download after payment.

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.

  • Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems
  • Offers practical guidance to help you design and build an EIM system that will successfully handle big data
  • Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM
  • Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems
  • Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system
  • Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

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