In data warehousing, a conformed dimension is a dimension that has the
same meaning to every fact with which it relates. Conformed dimensions allow facts and measures to
be categorized and described in the same way across multiple facts and/or data
marts, ensuring consistent reporting across the enterprise.
A conformed dimension can exist as a single dimension table that relates to multiple fact tables
within the same data
warehouse, or as identical dimension tables in separate data marts. Date is a common
conformed dimension because its attributes (day, week, month, quarter, year, etc.) have the same
meaning when joined to any fact table. A conformed product dimension with product name,
description, SKU, and other common attributes could exist in multiple data marts, each containing
data for one store in a chain.
This was last updated in September 2010
Email Alerts
Register now to receive SearchDataManagement.com-related news, tips and more, delivered to your inbox.
By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States.
Privacy
Dig Deeper
-
"Big data" technologies took a verbal shellacking from consultant and well-known Twitterer Karen Lopez in an Enterprise Data World conference session.
-
Find out how semantic modeling is changing data modeling and what the future holds for the use of semantic technologies in data modeling.
-
Data modeling techniques are more important than ever, despite the claims of some database vendors, according to data modeling guru and author Len Silverston.
-
People who read this also read...
-
Resources from around the Web