Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Hi, I have a big problem in completing my queries for a huge dataset which until now I still have no idea what has caused this. Thus, I was thinking to transfer my data back to MySQL database and extract it for my subsequent query.
I would like to know how can I transfer my queried data to MySQL database?
Solved! Go to Solution.
You can use an R-script for this task: https://www.youtube.com/watch?v=ANIZkTZO3eU
You might also want to check out my collection of performance killers here: https://www.thebiccountant.com/speedperformance-aspects/
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
You can use an R-script for this task: https://www.youtube.com/watch?v=ANIZkTZO3eU
You might also want to check out my collection of performance killers here: https://www.thebiccountant.com/speedperformance-aspects/
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 48 | |
| 40 | |
| 38 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 68 | |
| 65 | |
| 30 | |
| 26 | |
| 25 |