Forum Discussion
Design based on multiple granularity fct tables and auto scalling date axis
- 10 months ago
Hi jaryszek
I reproduced the scenario on my end using sample data and it worked successfully. To help you better understand the implementation, I’ve attached the .pbix file for your reference. Please take a look at it and let me know your observations.
Thank you for being part of the Microsoft Fabric Community!
thank you ABD128
I am adding my model:
https://drive.google.com/file/d/16EOv3bVoeVKhIpyb0AqhJnx3CVI_M3yy/view?usp=sharing
thank you in advance!
Best,
Jacek
Hi jaryszek
Thank you for reaching out to the Microsoft Fabric Community Forum.
We have reviewed your data model and found it well-suited for managing multiple fact tables at different granularities. Both the fct_amortizedcosts_daily and fct_amortized_monthly tables are properly connected to the shared dim_date table, which supports consistent filtering and alignment in your visuals.
While Power BI does not offer automatic granularity adjustment based on zoom, you can accomplish this by implementing a granularity or parameter table in combination with a dynamic measure. The granularity table or a Power BI field parameter can facilitate day or month selection, and the dynamic measure can reference the relevant fact table. This method allows a single visual to transition smoothly between daily and monthly data, effectively replicating the auto-scaling functionality you described.
I hope this information is helpful. . If you have any further questions, please let us know. we can assist you further.
Regards,
Microsoft Fabric Community Support Team.
- v-karpurapud10 months agoCommunity Support
Hi jaryszek
I reproduced the scenario on my end using sample data and it worked successfully. To help you better understand the implementation, I’ve attached the .pbix file for your reference. Please take a look at it and let me know your observations.
Thank you for being part of the Microsoft Fabric Community!
- jaryszek10 months agoSuper User
Thank you I will implemented something similar in my model.
Best,
Jacek - jaryszek10 months agoSuper User
Thanks,
Can you please show the example how this model can look like?
Best,
Jacek