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Hi Folks,
what is the best solution when you have millions of rows in your dataset and you need schedule refresh, and you don't want this daily refresh to impact your server? (SQL Server in my case, we have some limitations in server-side)
how can we decrease the impact as much as possible?
thank you
Solved! Go to Solution.
Hi @AliSafa ,
If the source data changes frequently or the data volume is substantial, consider using DirectQuery/LiveConnect mode instead of Import mode if the increased load at the source and the impact on query performance are acceptable.
Use DirectQuery in Power BI Desktop
These limitations might require you to use Import mode nonetheless. For very large data volumes, consider the use of aggregations in Power BI.
Incremental refresh is now available for both Pro and Premium capacity in Power BI. There are three main benefits for implementing incremental refresh on a dataset including faster refreshes, more reliable refreshes and, a reduction in resource consumption.
Best Regards,
Liang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @AliSafa ,
If the source data changes frequently or the data volume is substantial, consider using DirectQuery/LiveConnect mode instead of Import mode if the increased load at the source and the impact on query performance are acceptable.
Use DirectQuery in Power BI Desktop
These limitations might require you to use Import mode nonetheless. For very large data volumes, consider the use of aggregations in Power BI.
Incremental refresh is now available for both Pro and Premium capacity in Power BI. There are three main benefits for implementing incremental refresh on a dataset including faster refreshes, more reliable refreshes and, a reduction in resource consumption.
Best Regards,
Liang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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