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Hello everyone,
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@amitchandak Thanks for your contribution on this thread.
Hi @Atl ,
Direct Query mode establishes a live connection to the underlying data source, ensuring that the data displayed is always current. On the other hand, Import mode loads data into Power BI’s memory, providing a snapshot of your data at a specific point in time during the data refresh. If the data in your SQL database changes after the data refresh in Power BI, it could lead to discrepancies. You can try to refresh the data in Power BI and see if the discrepancy still exists.
Power BI Import vs Direct Query: Everything You Need to Know
Best Regards
@amitchandak Thanks for your contribution on this thread.
Hi @Atl ,
Direct Query mode establishes a live connection to the underlying data source, ensuring that the data displayed is always current. On the other hand, Import mode loads data into Power BI’s memory, providing a snapshot of your data at a specific point in time during the data refresh. If the data in your SQL database changes after the data refresh in Power BI, it could lead to discrepancies. You can try to refresh the data in Power BI and see if the discrepancy still exists.
Power BI Import vs Direct Query: Everything You Need to Know
Best Regards
Bumping for visibility
@Atl , Please check the incremental logic, if that on a date like the updated date, it might not work. Power BI will delete and insert not update and insert. You should use date like create date, billing date etc
Hi @amitchandak , thank you for your help. please help me understand. Discrepancy would be consistent and major if incremental refresh settings were wrong correct? In my case Discrepancy is very minor and only happening on very few dates and only happening on 3 different item category out of 12. this is very random and not consistent across.