We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi,
What is the best practice for using direct query,
We are querying against a live sales databse, and the performance is not very good. I am currently using date wheres in the SQl and in the Report via slicers. For direct query is it just as well only using the slicers?
Solved! Go to Solution.
Hi @Anonymous,
With Power BI Desktop, when you connect to your data source with import mode, it is a copy of the data into the Power BI Desktop. DirectQuery – no data is imported or copied into Power BI Desktop. As you create or interact with a visualization, you’re always viewing current data. DirectQuery lets you build visualizations over very large datasets, and you always use the current data, not need to re-importing data and refresh when the data is updated.
When you upload the data to Power BI desktop, you can use SQL in Advanced Options to filter the data. While, A slicer narrows the portion of the dataset shown in the other visualizations on the page. Direct Query is a database mode, slicer is a visualization level filter.
Best Regards,
Angelia
Hi @Anonymous,
With Power BI Desktop, when you connect to your data source with import mode, it is a copy of the data into the Power BI Desktop. DirectQuery – no data is imported or copied into Power BI Desktop. As you create or interact with a visualization, you’re always viewing current data. DirectQuery lets you build visualizations over very large datasets, and you always use the current data, not need to re-importing data and refresh when the data is updated.
When you upload the data to Power BI desktop, you can use SQL in Advanced Options to filter the data. While, A slicer narrows the portion of the dataset shown in the other visualizations on the page. Direct Query is a database mode, slicer is a visualization level filter.
Best Regards,
Angelia
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 | |
| 38 | |
| 33 | |
| 17 | |
| 17 |
| User | Count |
|---|---|
| 67 | |
| 62 | |
| 38 | |
| 34 | |
| 22 |