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 nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
I can change the data type (for example) using the modelling tab in the data view of desktop but I can also do this in the "edit query" function.
What is the difference and should I really be using the "edit query" function to make changes to my data?
thanks
Solved! Go to Solution.
The function of the Query editor is to clean, shape and transform the data from a data source and load to the PowerBI Engine. Whereas Data View is the part of the PowerBI Engine to model the imported data and define calculations using DAX for complex calculations. This datamodel is used to prepare the report on the canvas later.
As explained before, It would be a good practise to use the right tool for the right job to get the right results.
There is no difference. You can use either of the tools to set data type. Query Editor and PowerBI Engine both works on the Different engines and languages. Query Editor uses M Language whereas PowerBI Engine uses DAX.
The function of the Query editor is to clean, shape and transform the data from a data source and load to the PowerBI Engine. Whereas Data View is the part of the PowerBI Engine to model the imported data and define calculations using DAX for complex calculations. This datamodel is used to prepare the report on the canvas later.
As explained before, It would be a good practise to use the right tool for the right job to get the right results.
There is no difference. You can use either of the tools to set data type. Query Editor and PowerBI Engine both works on the Different engines and languages. Query Editor uses M Language whereas PowerBI Engine uses DAX.
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 29 | |
| 25 | |
| 24 | |
| 21 | |
| 14 |
| User | Count |
|---|---|
| 61 | |
| 48 | |
| 26 | |
| 21 | |
| 20 |