Forum Discussion
Bulk Import and Incremental Refresh
- 6 months ago
Hi JasonBurdetts ,
Based on the inputs, this is how this it will look
Partitions :
From August to January, data will be organized by month. In February, it will be organized by day. Once we reach March 8, the February daily data will be consolidated into monthly data, and March will be arranged by day.
Documentation : https://learn.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-overviewPartition Date Range
2025-08 01-Aug-2025 → 31-Aug-2025
2025-09 01-Sep-2025 → 30-Sep-2025
2025-10 01-Oct-2025 → 31-Oct-2025
2025-11 01-Nov-2025 → 30-Nov-2025
2025-12 01-Dec-2025 → 31-Dec-2025
2026-01 01-Jan-2026 → 31-Jan-2026
2026-02-01 (Day wise) 01-Feb-2026
---- 02 Feb to 23 Feb --- Day wise partitions
2026-02-25 (Day wise) 25-Feb-2026
Thanks
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Please mark it as the correct solution. It helps other community members find their way faster
Hi JasonBurdetts , instead of loading the historical data as a single partition (Say for the entire year) you can break it by month by adjusting the incremental refresh policies and load the data by months
Thanks
Thank you again for the response. I am new to the incremental refreshes, so how they work is not entirely clear. Let's say I set the archive data to 6 months, and then I set the refresh to be 7 days. Will the initial data loading:
- Start at 6 months ago and ask the API for data between 6 months and 6 months + 7 days
- Then do the next 7 days with another API call
- Keep doing 7 day increments until it has "caught up"?
If this is the case, will it keep retrying a period if the API becomes rate limited?
Jason