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Hi Chinna,
Please check this,
- The Power BI service has resource limitations, and heavy usage may affect refresh performance. Consider scheduling refresh during off-peak hours.
- Monitor resource usage in the Power BI service to ensure it's within acceptable limits.
- If using an on-premises data gateway, ensure it is properly configured, updated, and running during the scheduled refresh.
- Check for any issues with the gateway machine, such as high CPU or memory usage.
I think it will help you to understand the PBI refresh process and also it will help you to fix the issue.
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One possible reason for failed refreshes could be connectivity issues between Power BI Service and your data source. Ensure that the data source is accessible and that the credentials used for the refresh are valid. Additionally, check if there are any network or firewall restrictions that might be blocking the refresh process.
Another factor that can affect the refresh time is the size and complexity of your dataset. Larger datasets or those with complex transformations and calculations may take longer to refresh. Consider optimizing your data model and queries to improve refresh performance.
It's also worth noting that the performance of the underlying data source can impact the refresh time. If the data source is slow or experiencing high loads, it can cause delays in the refresh process. Monitor the performance of your data source and consider optimizing it if necessary.
To avoid these issues, you can take several actions. First, ensure that your data source is properly configured and optimized for performance. Test the refresh process with a smaller dataset to identify any potential issues. Additionally, schedule the refresh during off-peak hours to minimize the impact on system resources.
Regularly monitoring the refresh process and reviewing the refresh history in Power BI Service can help you identify any recurring issues and take appropriate actions to resolve them.
