Conform Table Work

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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.
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.
One solution is to generate a surrogate key with null for all the other attributes. This should technically be called an inferred member, but is often called an inferred dimension. A dimension that is used in multiple locations is called a conformed dimension.
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.
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.
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].
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