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We have Power BI on top of a tabular model created/hosted in SSAS then migrated to an AAS server. Performance was good.
Recently we migrated to hosting the model in a PBI Premium workspace, alongside the report. Performance is comparable for most things but much worse for others -- such as a scatter plot visual with a lot of datapoints that now takes twice as long to load initially.
The PBI Premium hosting of the data model seems to be the direction MS is steering us. We'd like to make it work. Should performance in gerneral take a hit using this approach? What options do we have for tuning or optimizing to make the reports perform at least as good as when the data model is hosted on a dedicated AAS server?
Thanks.
Solved! Go to Solution.
@bvy Have you been through this document? Optimize Microsoft Power BI Premium capacities - Power BI | Microsoft Docs
Hi @bvy ,
When your report is hosted by Premium capacity, you can use the Power BI Premium Metrics app to determine whether the report hosting capacity often exceeds the capacity resource or the Hourly Query Duration Distributions function to view the ratio changes between colors to identify slow reports , And through observation to determine the reason for the corresponding slowness, for example, long-term operation consumes CPU, causing new queries to wait or users with a large amount of concurrent capacity are using the same report or data set, etc.
This is related content, hope you can get help:
https://docs.microsoft.com/en-us/power-bi/admin/service-premium-capacity-scenarios
https://docs.microsoft.com/en-us/power-bi/guidance/report-performance-troubleshoot
https://docs.microsoft.com/en-us/power-bi/admin/service-admin-premium-monitor-capacity
https://docs.microsoft.com/en-us/power-bi/guidance/report-performance-troubleshoot
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @bvy ,
When your report is hosted by Premium capacity, you can use the Power BI Premium Metrics app to determine whether the report hosting capacity often exceeds the capacity resource or the Hourly Query Duration Distributions function to view the ratio changes between colors to identify slow reports , And through observation to determine the reason for the corresponding slowness, for example, long-term operation consumes CPU, causing new queries to wait or users with a large amount of concurrent capacity are using the same report or data set, etc.
This is related content, hope you can get help:
https://docs.microsoft.com/en-us/power-bi/admin/service-premium-capacity-scenarios
https://docs.microsoft.com/en-us/power-bi/guidance/report-performance-troubleshoot
https://docs.microsoft.com/en-us/power-bi/admin/service-admin-premium-monitor-capacity
https://docs.microsoft.com/en-us/power-bi/guidance/report-performance-troubleshoot
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@bvy Have you been through this document? Optimize Microsoft Power BI Premium capacities - Power BI | Microsoft Docs
@Greg_Deckler That's good information, Greg. Thanks for the link. A lot there, I'll start digging in...