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 want to connect Power BI to an Oracle DB table containing millions of records. That is going really slow. Is there a way to speed up this process?
If your requirements include any Filters, I would apply them as the first Step (after Navigation). They should be passed through to the generated SQL statement and executed against Oracle, to reduce the volume of data extracted.
If you cant do that, try adding a Keep Rows Step e.g. Keep the Top 100 rows. Again this should get passed through to Oracle to speed it up. Once you have finished designing your Query you can delete that step.
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 |
|---|---|
| 4 | |
| 3 | |
| 2 | |
| 1 | |
| 1 |
| User | Count |
|---|---|
| 7 | |
| 6 | |
| 6 | |
| 6 | |
| 4 |