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I have a published report that is updated daily automatically with the new data.
Last time I made changes to the model/measures was few days ago so my pbix version is missing few days of data. I can't refresh it in PBI desktop due to memory issues. I can only refresh in service.
How can I republish my report without overwriting with dataset that's few days old. The refresh in service takes 15 min so during this 15 min users will see incomplete data. How can I avoid this?
Solved! Go to Solution.
Hi @PshemekFLK
You could look at using Incremental refreshing and the XMLA end point if you are using Power BI Premium or Premium Per User?
Or you could publish it at a time when there is not a lot of usage on the Power BI report?
Hi @PshemekFLK
You could look at using Incremental refreshing and the XMLA end point if you are using Power BI Premium or Premium Per User?
Or you could publish it at a time when there is not a lot of usage on the Power BI report?
For anyone looking for the solution XLMA endpoint is indeed the way to go using ALM toolkit (free add-on to Power BI). You can learn more here:
Deploy Power BI dataset schema changes WITHOUT refreshing! - YouTube
I'm already using incremental refresh but it only helps with reducing the refresh time in the service. In Power BI desktop I need to refresh the complete data hence the memory issue. Publishing it at a time when there is not a lot of usage is also not an option as report is heavily used in different time zones. How can I use XMLA end point in this case?
Hi @PshemekFLK
With the XMLA end point you can just deploy the changes to your Incremental refresh policy. When doing this you will not have to reload all the data. It will update the partition refresh policy.
Upon the next refresh it would then process and add in the new partitions based on your settings.
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