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I bet this is common to everyone who is doing incremental refresh in Power BI and I could not find a better solution.
I have two tables (A, B) in my relational warehouse which I import them to the PBI desktop. Then I merge those tables to a new query (C) using LEFT OUTER JOIN removing some columns from A and B that I do not need. All my visualizations will be based on Table C now.
I set up the incremental refresh on all three tables (A,B,C) and pushed it to Service. The questions that I have:
I just wanted to have an efficient solution and not just a thing that works.
Solved! Go to Solution.
Hi @anilthapa11 ,
check out this blog post.
https://community.powerbi.com/t5/Community-Blog/Incremental-Refresh-with-Subqueries/ba-p/1003337
Hi @anilthapa11 ,
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hi @anilthapa11 ,
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hi @anilthapa11 ,
check out this blog post.
https://community.powerbi.com/t5/Community-Blog/Incremental-Refresh-with-Subqueries/ba-p/1003337
Thanks @mwegener
That blog is exactly what I was looking for. However, I could not accurately follow each steps which I asked in the blog itself. Hope I get my answers there.
Hi @anilthapa11 ,
If I answered your question, please mark my post as solution, this will also help others.
Please give Kudos for support.
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