@aloxaz
Loading a 3GB ".xaf" file directly into Power BI Desktop can indeed be time-consuming due to the file size. DirectQuery may not be supported for ".xaf" or ".xml" files, as you mentioned. However, you have a few alternatives to consider:
1. **Optimize the File**: Before loading the file into Power BI Desktop, consider optimizing it to reduce its size. This could involve removing unnecessary data, compressing the file, or splitting it into smaller files if possible.
2. **Use Power Query Editor**: If the ".xaf" file contains structured data, you can use Power Query Editor to perform data transformation and filtering operations before loading the data into Power BI Desktop. This can help reduce the amount of data being loaded and speed up the process.
3. **Incremental Loading**: If the data in the ".xaf" file is regularly updated or appended, consider implementing incremental loading techniques. This involves loading only the new or changed data since the last refresh, rather than reloading the entire dataset each time. However, this may require additional setup and infrastructure.
4. **Use Power BI Service**: If your dataset is hosted in the cloud, consider using Power BI Service instead of Power BI Desktop for data analysis. Power BI Service can handle larger datasets more efficiently, and you can connect directly to your data source without needing to load the entire file onto your local machine.
5. **Optimize Hardware**: If possible, consider using a machine with higher processing power and memory when loading large files into Power BI Desktop. This can help speed up the data loading process.
6. **Consider Alternative Tools**: If Power BI Desktop continues to struggle with loading the large ".xaf" file, you may need to explore alternative data visualization tools that are better suited for handling large datasets.
By exploring these options, you should be able to optimize the loading process and improve the performance of loading a 3GB ".xaf" file into Power BI Desktop.
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