Power Bi Two Fact Tables With Different Granularity at Eva Facy blog

Power Bi Two Fact Tables With Different Granularity. 1) load the 10 dimensions + 2 fact tables in power bi and make the star schema. Not sure this is correct. Sales represents one row per product on sales. What i'm not clear is the correct way to create the schema i.e. You can have the same attributes in your fact tables (also denormalized). There are two fact tables (sales and targetsales). The facts tables are at different granularity. I have two fact tables reflecting tow different subjects: In the header/detail models you must be careful to use the correct granularity in your calculations and try to maintain a good performance considering that. How to connect these tables in data model that values defined. But you can't use them as a fk as you have no dimension table with them as pk (at least in your er model). Multiple fact tables related to each other with different granularities remember that the granularity represents the level of detail in each row of your fact table. I need to compare results budget vs expences. In reality, we have two options, for example when you have data at the product category level and you want to join the product dimension:.

You can have the same attributes in your fact tables (also denormalized). I need to compare results budget vs expences. The facts tables are at different granularity. Not sure this is correct. How to connect these tables in data model that values defined. Sales represents one row per product on sales. But you can't use them as a fk as you have no dimension table with them as pk (at least in your er model). In reality, we have two options, for example when you have data at the product category level and you want to join the product dimension:. 1) load the 10 dimensions + 2 fact tables in power bi and make the star schema. In the header/detail models you must be careful to use the correct granularity in your calculations and try to maintain a good performance considering that.

Number of Fact tables in a data model Power BI YouTube

Power Bi Two Fact Tables With Different Granularity How to connect these tables in data model that values defined. Sales represents one row per product on sales. But you can't use them as a fk as you have no dimension table with them as pk (at least in your er model). Not sure this is correct. There are two fact tables (sales and targetsales). 1) load the 10 dimensions + 2 fact tables in power bi and make the star schema. In reality, we have two options, for example when you have data at the product category level and you want to join the product dimension:. How to connect these tables in data model that values defined. What i'm not clear is the correct way to create the schema i.e. You can have the same attributes in your fact tables (also denormalized). I have two fact tables reflecting tow different subjects: In the header/detail models you must be careful to use the correct granularity in your calculations and try to maintain a good performance considering that. Multiple fact tables related to each other with different granularities remember that the granularity represents the level of detail in each row of your fact table. I need to compare results budget vs expences. The facts tables are at different granularity.