Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreThe FabCon + SQLCon recap series starts April 14th at 8am Pacific. If you’re tracking where AI is going inside Fabric, this first session is a can't miss. Register now
More of a technical question, but does the PowerBI desktop solution scale with more cores/threads? What about memory speed/size? Does Power BI use GPUs in calculations (especially in Power Query and data refresh)? Dealing with large datasets and looking to see if throwing more resources can improve down time.
Well, yes. Power BI's core technology is SSAS tabular cubes. Power BI Desktop actually runs an instance of SSAS under the hood and SSAS is quite scalable. On the Power Query side, this depends on how big your dataset is. Are we talking 10M, 100M or 1B rows here? But, if it is big enough, then you may need to look at other options such as Direct Query. Also, you should look at Incremental Refresh if it is import mode. Futhermore, you shouldn't be refreshing large datasets from the Desktop anyway really, use the Service.
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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 53 | |
| 40 | |
| 38 | |
| 19 | |
| 18 |
| User | Count |
|---|---|
| 70 | |
| 69 | |
| 34 | |
| 33 | |
| 30 |