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Every day, I receive a report of the previous day's transactions (about 9,000 rows) that I append to my main Power BI report (stored in OneDrive).
Here is the setup in my Power BI:
I believe this will load the report cumulatively as follows:
For instance, let's say we start on July 10:
And so on.
In the end, this repeated loading will consume a lot of memory, causing my reports to fail due to out-of-memory issues. Additionally, since Excel can hold a maximum of 1 million rows, and each report has 9,000 rows, my main report will crash after 111 days.
What is the best approach to rectify this issue?
Thanks.
Solved! Go to Solution.
Hi @jaysoulz
if your previous day record example (9th july) does not change on 11th july refresh. then you can go for incremental refresh instead of loading all the way from beginning.
refer below videos for better understanding.
https://www.youtube.com/watch?v=BL2pSXmBxtw
https://www.youtube.com/watch?v=shc1SpXYrKo
https://www.youtube.com/watch?v=IVMdg16yBKE
I hope I answered your question!
Hi @jaysoulz,
Please check the below video: https://youtu.be/QGqn4hWAhBM?feature=shared
This contain end to end solution as per your requirement
Hi @jaysoulz,
Please check the below video: https://youtu.be/QGqn4hWAhBM?feature=shared
This contain end to end solution as per your requirement
Hi @jaysoulz
if your previous day record example (9th july) does not change on 11th july refresh. then you can go for incremental refresh instead of loading all the way from beginning.
refer below videos for better understanding.
https://www.youtube.com/watch?v=BL2pSXmBxtw
https://www.youtube.com/watch?v=shc1SpXYrKo
https://www.youtube.com/watch?v=IVMdg16yBKE
I hope I answered your question!
Excel is not a database. Don't use Excel as a database. Your solution is to make a database and store the records.
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