In last tutorial , we have gone through some of the basic concept of data warehouse , what exactly data warehouse store ,importance of data warehouse. We also saw various properties of data warehouse. Data warehouse mainly consists of Dimension and Fact tables. We will go through different type of dimension mainly used in data warehouse in upcoming articles. In below article we will go through the Conformed Dimension in dataware house with some example , why they are important.Hope you will enjoy this small data warehouse tutorial.
Conformed Dimension in Data warehouse
In dataware house , conformed Dimension is the dimension which has the same meaning and content when being referred from different fact tables. A conformed dimension can refer to multiple tables in multiple data marts within the same organization. For example : Time is a common conformed dimension because its attributes (day, week, month, quarter, year, etc.) have the same meaning when joined to any fact table. Similarly Customer dimension will have the same meaning irrespective of which FACT table we are referring to.
I found a good article on conformed dimension in data ware house here
I also found some good article on other various type of dimension as well.
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