Forum Discussion
Static table Vs dinamic table
Hi,
I would appreciate if you can guide me on the best way to handle this:
I am creating a Balance report in PBI, where I need the data from 2 years back to today (I am using JD Edwards).
Of course I already made a query that extracts the data, but the Refresh is a bit slow.
So I wanted to do the following:
a. To have the data from 2020 to last month, in a table that will be refreshed monthly, the day of accounting close. (It would be the Historical data)
b. On the other hand, to have in another table that makes the daily refresh with the transactions of the day to have the information of the current month.
This way I could make a UNION or MERGE to join both tables and in this way, the report would be faster.
I would appreciate if you can guide me on how to handle it.
Note: I don't if it is possible to schedule a refresh in different times for two tables in the same report..
Greetings.
Hi, gomezc73
Incremental Refresh is the process of loading only part of the data that might change, and adding it to the previous dataset which is not changing anymore.Incremental refresh extends scheduled refresh operations by providing automated partition creation and management for dataset tables that frequently load new and updated data.
With incremental refresh, the service dynamically partitions and separates data that needs to be refreshed frequently from data that can be refreshed less frequently.
Refer:
Incremental refresh and real-time data for datasetsConfigure incremental refresh and real-time data
More:
https://www.sqlshack.com/an-overview-of-power-bi-incremental-refresh/https://biinsight.com/implementing-incremental-refresh-in-power-bi-part-1/
https://radacad.com/all-you-need-to-know-about-the-incremental-refresh-in-power-bi-load-changes-only
Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
5 Replies
You don't really need to do that. Read about Incremental Refresh.
Hi, gomezc73
Incremental Refresh is the process of loading only part of the data that might change, and adding it to the previous dataset which is not changing anymore.Incremental refresh extends scheduled refresh operations by providing automated partition creation and management for dataset tables that frequently load new and updated data.
With incremental refresh, the service dynamically partitions and separates data that needs to be refreshed frequently from data that can be refreshed less frequently.
Refer:
Incremental refresh and real-time data for datasetsConfigure incremental refresh and real-time data
More:
https://www.sqlshack.com/an-overview-of-power-bi-incremental-refresh/https://biinsight.com/implementing-incremental-refresh-in-power-bi-part-1/
https://radacad.com/all-you-need-to-know-about-the-incremental-refresh-in-power-bi-load-changes-only
Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.v-angzheng-msft be careful not to mix up incremental refresh with differential refresh. Incremental refresh does NOT address data changes. It assumes immutability of data written to older partitions. It should have been called "Selective Partition Flush&Fill" but that probably wasn't a cool enough name.
Hi, lbendlin
Thanks for your reply, the above statement comes entirely from the article above.
Best Regards,
Community Support Team _ Zeon Zheng
Thank you, this information is very useful
