Get certified in Microsoft Fabric—for free! For a limited time, the Microsoft Fabric Community team will be offering free DP-600 exam vouchers. Prepare now
I am trying to optimize my future models. Previously, I have been writing my own queries joining tables, making aggregates, etc.
I have since learned that I lose out on the built in query folding and the subsequent access to things such as incremental refresh.
What is the best way to pull SQL data into the model?
Writing your own scripts
Creating Views and pulling in the entire view like a table in PQ
Pulling in entire table (import) and using PQ ETL
Something else
if there are any solid articles written about what the optimizal method is, id love to read about it as well.
Note:
No single table exceeds 10mm rows, but many have 100+ columns
Thank you
Solved! Go to Solution.
@EnrichedUser
Is always recommended to do all your ETL at the source level and bring in the data to PBI. Creating Views is the best option as per your case. It will enable Query Folding and Incremental Refresh as well.
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@EnrichedUser
Is always recommended to do all your ETL at the source level and bring in the data to PBI. Creating Views is the best option as per your case. It will enable Query Folding and Incremental Refresh as well.
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Check out the October 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
110 | |
99 | |
95 | |
88 | |
70 |
User | Count |
---|---|
165 | |
131 | |
129 | |
102 | |
98 |