Snowflake Schemas
In this exercise, you will create a Lakehouse for a restaurant chain, load a fact table and related dimension tables, and explore the resulting snowflake schema. We will build a model with six tables:
| Table | Description |
|---|---|
fact_orders |
Daily sales order data from all restaurants |
dim_menuitems |
Information about the different menu items |
dim_menucategories |
Information about the different categories of the menu items |
dim_restaurants |
Information about the different restaurants |
dim_city |
Information about the cities where the restaurants are located |
dim_state |
Information about the states where the cities are located |
Note: If you get an error about an API rate limit, this usually happens because a previous Fabric task has not completed. You can view active Fabric tasks from the Monitor page (located on the left vertical menu). Canceling old Fabric tasks in the Monitor page will usually resolve the rate limit error.
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Transform and Analyze Data with Microsoft Fabric
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