This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowThe Fabric community is upgrading! Read all of the details including the timeline and what you can expect. Learn more
Hi,
I have 2 different data sources:
1) contains, amongst other things, employee name and turnover
2) contains employee name (but written differently)) and wage costs and a cost centre
I would like to create a dim table based on data source 1, because this adds newest employees first and therefore I know I have all the employees. It happens that wage costs are added later in the process and is therefore never the first to be complete.
Basiscally I need:
Employee name general
Employee name according to datasource 1
Employee name according to datasource 2
Cost centre number
That way I can communicate between the two fact tables.
I thought of copying datasource 1 as a dimtable and eliminating all columns except the employees name as a starting point. New data automatically adds new employees. After that adding columns, but that can't be a manual input I think?
Does anybody have a suggestion on how to combine these two to a dim table?
Solved! Go to Solution.
Hi @lekkerbek ,
Yes, as you said, you can append the 2 tables and then remove duplicate and remove other columns.
by this way you are creating a new table and this table will be master table, then make relationship of that 2 table with this new table.
Thanks & Regards,
Mohammed Adnan
Hi @lekkerbek ,
Yes, as you said, you can append the 2 tables and then remove duplicate and remove other columns.
by this way you are creating a new table and this table will be master table, then make relationship of that 2 table with this new table.
Thanks & Regards,
Mohammed Adnan
Thanks! I got it to work.
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
| User | Count |
|---|---|
| 24 | |
| 22 | |
| 20 | |
| 18 | |
| 14 |
| User | Count |
|---|---|
| 29 | |
| 23 | |
| 22 | |
| 20 | |
| 20 |