@Ganesh_Shinde77
The extended loading time for importing data from your mailbox into Power BI Desktop could be caused by several factors:
1. **Volume of Data:** 130,000 records may not seem like a large volume, but if each record contains a significant amount of information or attachments, it can slow down the import process.
2. **Network Latency:** Slow network connections can contribute to extended loading times, especially when fetching data from remote servers like Office 365.
3. **Complex Queries:** If your query is complex or involves multiple transformations, it can increase loading times. Since you're only interested in the 'receivedDateTime' column, ensure your query is optimized to select only the necessary data.
4. **Authentication Issues:** Ensure that your connection to the Office 365 mailbox is properly authenticated and authorized to access the data.
To expedite the loading process and focus solely on the required data ('receivedDateTime' column), consider the following strategies:
1. **Query Optimization:** Optimize your query to select only the necessary columns ('receivedDateTime') and apply any necessary filters to reduce the volume of data being imported.
2. **Incremental Refresh:** If your mailbox data is continually growing, consider implementing incremental refresh to only import new or updated data since the last refresh, reducing the amount of data to be imported each time.
3. **Data Source Settings:** Check the settings in Power BI Desktop related to data source settings, such as data privacy levels and data load options, and adjust them as needed to optimize performance.
Regarding the discrepancy in the displayed numbers being larger than the actual values, this could be due to data type mismatches or formatting issues. Ensure that the data types in your Power BI model match the data types in your data source and that any formatting applied is appropriate.
For the schedule refresh error, it would be helpful to see the attached image depicting the error message to provide specific assistance. However, common issues with schedule refresh errors can include authentication issues, data source connectivity problems, or issues with the dataset configuration in Power BI Service. Review the error message and try to troubleshoot based on the specific details provided in the error message.
Additionally, since you have a Pro license and are using Office 365, you can reach out to Microsoft Support for assistance with any technical issues related to Power BI and Office 365 integration. They can provide personalized support and guidance to help resolve the issues you're encountering.
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