What is the meaning of conformed dimension?
Conformed dimensions are dimensions that are shared by multiple stars. They are used to compare the measures from each star schema [3]. The reuse of conformed dimensions is very common in order to “support true, cross-business process analysis” [6].
What do you mean by conforming dimensions example?
A conformed dimension is a dimension that has exactly the same meaning and content when being referred from different fact tables. For example, two dimension tables that are exactly the same except for the primary key are not considered conformed dimensions.
What is conformed fact in data warehouse?
Conformed fact in a warehouse allows itself to have same name in separate tables. They can be compared and combined mathematically. Conformed dimensions can be used across multiple data marts. These conformed dimensions have a static structure.
Why do we need conformed dimension?
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.
What is non conformed dimension?
A non-conformed dimension is where you add an attribute to an analysis which does not logically relate to all the facts.
What is the difference between conformed dimension and role playing dimension?
Conformed vs Role-Playing Dimension Conformed is the same dimension used in different facts and has the same meaning ex: CustomerID. Role-Playing is the same dimension which used multiple times within the same fact but with different meanings ex: Date.
What conformed facts?
A conformed fact is a shared fact that is designed to be used in the same way across multiple data marts. So, the shared conformed facts mean the same thing to different star schemas.
How are conform facts and dimensions used in data warehouse?
Conformed dimensions can be used to analyze facts from two or more data marts. Suppose you have a “shipping” data mart (telling you what you’ve shipped to whom and when) and a “sales” data mart (telling you who has purchased what and when).
How are data marts related to conformed dimensions?
For the sake of lesson, a Data Mart is a subset of related Facts and Dimensions in the Data Warehouse. As you have seen, Conformed Dimensions are Dimensions that are shared by the Fact tables. Those Fact tables don’t necessarily have to exist in the same Data Warehouse database.
How are conformed dimensions used in data governance?
Conformed dimensions, defined once in collaboration with the business’s data governance representatives, are reused across fact tables; they deliver both analytic consistency and reduced future development costs because the wheel is not repeatedly re-created.
When do you need conform facts and dimensions?
These dimensions become enterprise property and can be used later in other marts as you evolve the enterprise data warehouse. In addition to conformed dimensions, you need conformed facts. Conforming a fact really amounts to standardizing the definitions of terms across individual marts.