Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.
Hi All -We aim to develop a semantic model using lakehouse views instead of tables. Are there any potential fallbacks or considerations we should keep in mind? Since we're not incorporating all columns from the lakehouse tables into the semantic model, our approach is to build it based on views.
One option is to reprocess the data, limiting the columns. However, this includes additional processing and setup. Do you have any suggestions or alternatives to streamline this process?
Thanks,
Abhiram
Solved! Go to Solution.
Hi @abhiram342 ,
Direct Lake mode will fallback to Direct Query if you are using views:
So, I guess your best shot is indeed to load the data into new tables according to your requirements...
Hope this helps 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
Did I answer your question❓➡️ Please, mark my post as a solution ✔️ |
Also happily accepting Kudos 🙂 |
Feel free to connect with me on LinkedIn! | |
#proudtobeasuperuser | |
Hi @abhiram342 ,
Direct Lake mode will fallback to Direct Query if you are using views:
So, I guess your best shot is indeed to load the data into new tables according to your requirements...
Hope this helps 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
Did I answer your question❓➡️ Please, mark my post as a solution ✔️ |
Also happily accepting Kudos 🙂 |
Feel free to connect with me on LinkedIn! | |
#proudtobeasuperuser | |
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the September 2025 Fabric update to learn about new features.
User | Count |
---|---|
16 | |
4 | |
4 | |
3 | |
2 |