Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
Here is a picture illustrating my scenario:
I read that the proper relations between the two source is the key but I don't know how to connect these two different sources.
If I try to merge the two tables in one - is this a good approach...I will have table with 250K recoords.
Can anyone advise me what is the recommended approach is such scenarios?
Solved! Go to Solution.
@DimchoTsanov
The best practice and approach is to create separate dimension tables, either in SQL or Power Query. For example, you can create a single date table and link to both the source data tables using the One-To-Many relationship.
Follow the same for the other columns that are common in both tables.
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@DimchoTsanov
The best practice and approach is to create separate dimension tables, either in SQL or Power Query. For example, you can create a single date table and link to both the source data tables using the One-To-Many relationship.
Follow the same for the other columns that are common in both tables.
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
| User | Count |
|---|---|
| 23 | |
| 21 | |
| 20 | |
| 20 | |
| 11 |
| User | Count |
|---|---|
| 62 | |
| 55 | |
| 47 | |
| 44 | |
| 37 |