The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.
I am working on a report that uses calculation groups to let users select which time intelligence groups they would like to see (CY YTD, PY PTD, YTD Variance, CY TTM, PY TTM, TTM Variance). There is also a perspective set up to allow them to pull in certain dimensions from the dataset. This is all set up in Tabular Editor opened from the dataset. The KPIs are DAX measures within the Power BI Report itself. The dataset is a star schema and has several million records.
Does anyone have any advice for how to optimize and speed up calculation groups within Power BI? Could it be related to my DAX measures being in the report instead of the DS? Any advice or things to try would be helpful. Thanks!
@Anonymous , refer if these can help
https://www.agile-analytics.com.au/blog/a-technique-for-optimising-calculation-group-performance/
https://www.youtube.com/watch?v=52remtERZ6o
User | Count |
---|---|
14 | |
11 | |
8 | |
6 | |
5 |
User | Count |
---|---|
28 | |
19 | |
13 | |
8 | |
5 |