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Hi all,
I have a fairly large dataset, +60m rows of data going back 5 years, which I intend to utilise incremental refresh on to be able to efficiently build and populate reports. The technology used is an ODBC connection on a Power BI Pro license, therefore I'm restricted in what I can do backend with partitions and the web services 2 hour time limit.
The incremental refresh settings I have are:
My main challenge is being able to load the historical data into the data model. The maximum time window that I can get squeezed into a 2 hour limit is one years worth of data. So, bareing in mind that I have a further 4 years of data that I want to populate, I am attempting to get creative by introducing the following logic:
My issue with the above is that when I get to step 8, the data refreshes and populates but at the same time it truncates all the data that was loaded in step 7, even though the "load_date_time" is now day 8 and therefore outside of the 7 days refresh policy.
I attempted to wait two days between refreshes, yet I experienced the same behaviour. ie - step 7 data is truncated.
So, recognising that the above is a bit of a hack of the system in how it was designed to work, my two questions are:
All assistance appreciated.
Did you ever get an answer on this?
Hi, @Agreenwood ;
You can check out the following official website documents to help you.
https://docs.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-overview
https://docs.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-configure
https://docs.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-xmla
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Any help / advice / thoughts would be greatly appreciated on this.
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