Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data
Author :
Publisher : Morgan Kaufmann
Total Pages : 255
Release :
ISBN-10 : 9780128006658
ISBN-13 : 012800665X
Rating : 4/5 (65X Downloads)

Book Synopsis Entity Information Life Cycle for Big Data by : John R. Talburt

Download or read book Entity Information Life Cycle for Big Data written by John R. Talburt and published by Morgan Kaufmann. This book was released on 2015-04-20 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Entity Information Life Cycle for Big Data Related Books

Handbook of Research on Big Data Storage and Visualization Techniques
Language: en
Pages: 1078
Authors: Segall, Richard S.
Categories: Computers
Type: BOOK - Published: 2018-01-05 - Publisher: IGI Global

DOWNLOAD EBOOK

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected infor
Entity Information Life Cycle for Big Data
Language: en
Pages: 255
Authors: John R. Talburt
Categories: Computers
Type: BOOK - Published: 2015-04-20 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

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 managem
Advances in Data Science and Information Engineering
Language: en
Pages: 965
Authors: Robert Stahlbock
Categories: Computers
Type: BOOK - Published: 2021-10-29 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on I
Information Quality in Information Fusion and Decision Making
Language: en
Pages: 619
Authors: Éloi Bossé
Categories: Computers
Type: BOOK - Published: 2019-04-02 - Publisher: Springer

DOWNLOAD EBOOK

This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the im
Guidebook for Managing Data from Emerging Technologies for Transportation
Language: en
Pages: 107
Authors: Kelley Klaver Pecheux
Categories: Database management
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

With increased connectivity between vehicles, sensors, systems, shared-use transportation, and mobile devices, unexpected and unparalleled amounts of data are b