Can a table be both fact and dimension?

Can a table be both fact and dimension?

Additionally, any table in a dimensional database that has a composite key must be a fact table. This means that every table in a dimensional database that expresses a many-to-many relationship is a fact table. Therefore a dimension table can also be a fact table for a separate star schema.

Can a data warehouse have more than one fact table?

Facts tables have unique dimensional characteristics to address the specific business measurements for which the fact table was created. Because of this unique design, you cannot join two fact tables together as they will be missing some dimensional characteristic, impacting the grain of the measure.

How do you design a fact and dimension table?

Use the wizard to create the corresponding fact and dimension tables.

1. In Data Modeler, lock the model for editing.
2. In the Database menu in the left pane, right-click the source table that contains the fact and dimensional data that you want to model, select Add to Model, and then select Add as Fact and Dimension Tables.

Can a fact be a dimension?

MSRP as a dimensional attribute can be used for filtering, while MSRP as a fact can be used to do calculations (i.e, MSRP – Sale Price = Sale Discount).

Can star schema have 2 fact tables?

Although the diagram in this chapter shows a single fact table, a star schema can have multiple fact tables. A more complex schema with multiple fact tables is useful when you need to keep separate sets of measurements that share a common set of dimension tables.

How are fact tables used in data warehouse?

Now that we have established a solid foundation with dimension tables we will now turn our focus to the fact tables. Fact tables are data structures which capture the measurements of a particular business process. The measurements (quantity, amount, etc.) are defined by the collection of related dimensions.

Where do we store measurements in fact tables?

Fact tables are where we store these measurements. They hold business data that can be aggregated across dimension combinations. But the fact is that fact tables are not so easily described – they have flavors of their own. In this article, we’ll answer some basic questions about fact tables, and examine the pros and cons of each type.

How are fact tables used in dimensional modeling?

Transactional fact tables are the most common fact in dimensional modeling. Transactional fact tables capture the measurement at its most atomic dimensional level, at the point-in-time of the transaction. This allows the fact table to provide robust dimensional grouping and roll-up and drill-down reporting capabilities to the business user.

What makes a fact table a general fact table?

A general fact table consists of two main attribute groups: Foreign keys to dimensional tables Foreign keys are self-explanatory; degenerate dimensions also belong to this group. A degenerate dimension is a dimension key with no parent dimension table.