What are the benefits and drawbacks of using fact constellation over star schema?
Dimensional modeling is a technique for designing data warehouses that organizes data into facts and dimensions. Facts are numerical measures that can be analyzed, such as sales, revenue, or profit. Dimensions are attributes that describe the facts, such as time, location, product, or customer. A common way to represent dimensional models is using schemas, which are graphical representations of the tables and relationships in a database. Two popular schemas are star schema and fact constellation. In this article, you will learn what they are, how they differ, and what are the benefits and drawbacks of using fact constellation over star schema.