Do you feel like the traditional way of data modeling for analytics still has a place or do you feel like that's being somewhat supplanted by semantic layers? Or are they compatible with each other? Yeah, I think they're more compatible. It's like a dimensional model and it still, I think it's still relevant. And, you know, like I see a lot of people doing this. Maybe, You know, like it's still a good big question is like, do we still need to do classicdimensional modeling just because our technology kind of changed a lot in the last 20, 25 years?"