Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
Anonymous
Not applicable

Power BI incremental refresh scenario

Hi Team,

 

We have a challenge on incremental refresh, we got few dimensions tables with LastUpdatedAt column, and all are imported to Power BI,
 
using the LastUpdatedAt we bring the recent changed record to PowerBI using Detect changes, but want to store all the rows from dimentions without any store range.
 

For example, Employee is dimesion table and we have data from 1990. We need to import all the data and store all, and refresh only recent changed record.
 
Thank you in advance

 

Regards,

Jyoti

1 ACCEPTED SOLUTION
v-yetao1-msft
Community Support
Community Support

Hi @Anonymous 

Incremental refresh is actually a "rolling window mode" . By default, refreshing data and storing data according to the period you set .

If you select the Detect data changes , It uses the maximum time of the time column you choose as the standard, and stores and refreshes the data according to the time period.

When a historical partition is no longer in the historical period defined by the policy, it is removed from the dataset entirely. So if you set incremental refresh for Employee table , the saved data will be scrolled forward, not all historical records will be kept .

Ailsa-msft_0-1620891051728.png

For the conceptual issue of incremental refresh, you can refer to the link below:

https://docs.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-overview

 

Best Regards

Community Support Team _ Ailsa Tao

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
AnkitKukreja
Super User
Super User

Hi @Anonymous 

 

What you could do here is just import all the data uptill Dec-2020 (or whatever suits you) into 1 table and then disable refresh for that table. This will keep your data static. Now you can add another table with data starting from Jan and append that into your 1st table or vice-versa.

This would keep your 1st table data (which is not refreshing) static and your 2nd table would be refreshing the latest data as per your needs.

 

Please mark it as a solution, if it answers your question.

 

Thanks and Regards,
Ankit
www.linkedin.com/in/ankit-kukreja1904

If my response has successfully addressed your question or concern, I kindly request that you mark this post as resolved. Additionally, if you found my assistance helpful, a thumbs-up would be greatly appreciated.
Thanks,
Ankit Kukreja
www.linkedin.com/in/ankit-kukreja1904
v-yetao1-msft
Community Support
Community Support

Hi @Anonymous 

Incremental refresh is actually a "rolling window mode" . By default, refreshing data and storing data according to the period you set .

If you select the Detect data changes , It uses the maximum time of the time column you choose as the standard, and stores and refreshes the data according to the time period.

When a historical partition is no longer in the historical period defined by the policy, it is removed from the dataset entirely. So if you set incremental refresh for Employee table , the saved data will be scrolled forward, not all historical records will be kept .

Ailsa-msft_0-1620891051728.png

For the conceptual issue of incremental refresh, you can refer to the link below:

https://docs.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-overview

 

Best Regards

Community Support Team _ Ailsa Tao

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.