Applying Data Mart and Data Warehousing Concepts to Metadata Management

ID Number: G00165278

30 March 2009

Mike Blechar Jess Thompson

Two of the most common approaches to metadata management use concepts similar to data marts and data warehouses. Although not a panacea, these approaches can be important contributors to metadata management.

Price: US$495.00

Pages: 9

Browse Topics

Other Options

Contact Gartner

	Purchasing this document is fast, easy and secure, but you must be registered with gartner.com so we can track your order. Please select your status from these three choices:

Registration is required to purchase this document.

You or your organization may already own this document. Register now to find out. Your Gartner Membership Administrator can supply the needed License Key(s).

You will not lose your document during registration.

Username:

Password:

Forgot your username
or password?

For more information about purchasing this or other documents, contact Gartner at one of the telephone numbers below:


North America:	+1 203-316-3010	7:30 am - 8:00 pm	Stamford, CT
Europe:	+44 1784 267770	9:00 am - 5:00 pm	London
Asia/Pacific:	+65 6879 2785	9:00 am - 6:00 pm	Singapore
Japan:	+81 3 3481 3552	9:00 am - 5:30 pm	Tokyo

Table of Contents

Analysis

1.0

What Is Metadata?

2.0

The Need for Sharing Metadata

3.0

Scoping Metadata Sharing Into Communities of Interest

4.0

Metadata Integration Issues

4.1

Where to Start on Metadata Management and Integration

5.0

Applying Data Warehousing Concepts to Metadata Management

6.0

In Summary

List of Figures

	Figure 1.	Example of Data and Metadata

	Figure 2.	Example of Sharing Metadata That Describes the Database

	Figure 3.	The Process of Process

	Figure 4.	Sample Business Process Management Suite

	Figure 5.	Data Warehouses vs. Data Marts

Data Warehousing
Data Marts
Metadata Management

© 2009 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner's research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

Resource Id: 924118