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csaint001
Frequent Visitor

Data Model with 6 fact tables

Hi all,

I'm struggling with setting up a data model.  I have 6 fact tables with employee metrics and would need to filter/display by Employee attribute (dept, city, level etc.).  I have a current Employee Roster with lists all current employees (no dups) with all current attributes.  The issue is that the fact tables might have Employees that are NOT on the current roster or have changed levels, depts etc.  All of the fact tables have duplicate rows for all employees.

The only way I've been able to solve this is with 14 DIM tables listing out all of my attributes then connecting all of them to each of my fact tables.

Is there a more efficient way to set up is model?

2 ACCEPTED SOLUTIONS
amitchandak
Super User
Super User

Unless looking at the model, I can not say. But If you are in a star schema. And you have separated out fact and dimension and making sure all common fields are in dimensions. Then it is a good design. I am sure you have taken care of SCD behavior of employee details.

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Slowly Changing Dimension.

Means employee's manager and department changes etc. You have also created a current employee fact. Means somewhere you are taking care of that too.

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View solution in original post

3 REPLIES 3
amitchandak
Super User
Super User

Unless looking at the model, I can not say. But If you are in a star schema. And you have separated out fact and dimension and making sure all common fields are in dimensions. Then it is a good design. I am sure you have taken care of SCD behavior of employee details.

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Hi,

@amitchandak 

Ok, thanks.  That's what I thought.  What you mean by "SCD behavior"?

Slowly Changing Dimension.

Means employee's manager and department changes etc. You have also created a current employee fact. Means somewhere you are taking care of that too.

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

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