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Data Modeling: A Necessary and Rewarding Aspect of Data Management

White Paper Published By: Burton Group

Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.



Tags : 
modeling, data modeling, data management, data mining, bi, business intelligence, dba, database administration

Burton Group
Published:  Jul 07, 2008
Type:  White Paper
Length:  46 pages





Data Modeling: A Necessary
and Rewarding Aspect of Data
Management v1, May 19, 2008 AUTHOR: Joe Maguire (jmaguire@burtongroup.com) TECHNOLOGY THREAD: Data Management CONCLUSION: Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
Publishing Information Burton Group is a research and consulting firm specializing in network and applications infrastructure technologies. Burton works to catalyze change and progress in the network computing industry through interaction with leading vendors and users. Publication headquarters, marketing, and sales offices are located at: Burton Group 7090 Union Park Center, Suite 200 Midvale, Utah USA 84047-4169 Phone: +1.801.566.2880 Fax: +1.801.566.3611 Toll free in the USA: 800.824.9924 Internet: info@burtongroup.com; www.burtongroup.com Copyright 2008 Burton Group. ISSN 1048-4620. All rights reserved. All product, technology and service names are trademarks or service marks of their respective owners. Terms of Use: Burton customers can freely copy and print this document for their internal use. Customers can also excerpt material from this document provided that they label the document as "Proprietary and Confidential" and add the following notice in the document: "Copyright © 2008 Burton Group. Used with the permission of the copyright holder. Contains previously developed intellectual property and methodologies to which Burton Group retains rights. For internal customer use only." Requests from non-clients of Burton for permission to reprint or distribute should be addressed to the Marketing Department at +1.801.304.8119. Burton Group's Data Management Strategies service provides objective analysis of networking technology, market trends, vendor strategies, and related products. The information in Burton's Data Management Strategies service is gathered from reliable sources and is prepared by experienced analysts, but it cannot be considered infallible. The opinions expressed are based on judgments made at the time, and are subject to change. Burton offers no warranty, either expressed or implied, on the information in Burton's Data Management Strategies service, and accepts no responsibility for errors resulting from its use. If you do not have a license to Burton's Data Management Strategies service and are interested in receiving information about becoming a subscriber, please contact Burton.
2 BURTON GROUP 7090 Union Park Center · Suite 200 · Midvale, Utah · 84047 · P 801.566.2880 · F 801.566.3611 · www.burtongroup.com
Table of Contents Synopsis ..................................................................................................................................................................... 5 Analysis ..................................................................................................................................................................... 7 Definitions ............................................................................................................................................................ 7 The Basics ........................................................................................................................................................ 7 Reading a Data Model .................................................................................................................................... 9 Types of Data Model ...................................................................................................................................... 9 Other Types of Modeling ............................................................................................................................. 10 Frameworks: How Various Data Models Interrelate .............................................................................. 10 A Simple Framework .............................................................................................. [download for more]

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