Forum Discussion
Incremental load will work in Power BI?
Hi everyone,
Could someone explain incremental load in Power BI? How does it work, and what are the key steps to implement it effectively? Any tips or real-world examples would be greatly appreciated!
Hi srinudatanalyst - Please follow the below solved threads and links FYR:
Solved: Incremental refresh/ incremental load - Microsoft Fabric Community
Solved: Incremental Load in Power BI On-Premises - Microsoft Fabric Community
Steps to Implement Incremental Refresh in Power BI
1. Prerequisites
- Use a date or time field in your data to identify new or updated rows.
- Ensure the data source supports query folding.
2. Configure Parameters
- Create two parameters in Power BI:
- RangeStart: Represents the start of the incremental refresh period.
- RangeEnd: Represents the end of the incremental refresh period
- 3. Apply Filters
In Power Query:
Filter the data using the RangeStart and RangeEnd parameters.
Example: Date >= RangeStart AND Date < RangeEnd.
4. Enable Incremental Refresh
- Publish the dataset to Power BI Service.
- In the Power BI Service, configure the incremental refresh settings:
- Set the store period (e.g., keep data for 5 years).
- Define the refresh period (e.g., refresh the last 1 month).
5. Publish and Refresh
- Publish your report to the Power BI Service.
- Power BI will automatically handle the refresh process based on your configuration.
2 Replies
- rajendraongole1
Super User
Hi srinudatanalyst - Please follow the below solved threads and links FYR:
Solved: Incremental refresh/ incremental load - Microsoft Fabric Community
Solved: Incremental Load in Power BI On-Premises - Microsoft Fabric Community
Steps to Implement Incremental Refresh in Power BI
1. Prerequisites
- Use a date or time field in your data to identify new or updated rows.
- Ensure the data source supports query folding.
2. Configure Parameters
- Create two parameters in Power BI:
- RangeStart: Represents the start of the incremental refresh period.
- RangeEnd: Represents the end of the incremental refresh period
- 3. Apply Filters
In Power Query:
Filter the data using the RangeStart and RangeEnd parameters.
Example: Date >= RangeStart AND Date < RangeEnd.
4. Enable Incremental Refresh
- Publish the dataset to Power BI Service.
- In the Power BI Service, configure the incremental refresh settings:
- Set the store period (e.g., keep data for 5 years).
- Define the refresh period (e.g., refresh the last 1 month).
5. Publish and Refresh
- Publish your report to the Power BI Service.
- Power BI will automatically handle the refresh process based on your configuration.
I am facing issue while implementing incremental load. The dashboard has retail sales data, cache period is 4 years and refresh is 14 month. As retail industry the returns are coming but its not tracking the return which are coming before 14 months. When I am manually refreshing the data the numbers are matching and are accurate. Any suggestions how can I handle this situation.
