What do you mean by that? Can we unpack that a little bit?

Yeah, definitely.

And this is really crucial, right? The semantic layer, I would say, and I used to say that this is the brain of the data fabric, exactly because this is where you will connect the technical piece, that is where the data is, what table, what columns we are talking about, and how the business will use this column.

So you see that the semantic layer will connect both dots.

uh in in so you will have the business logic the content the standard definitions all the metrics right so everything related to how business will use the data will be in the semantic layer but naturally this data that is used for business purpose, they naturally comes from one specific table, one specific column, and that's exactly where both things connect.

In my experience with that, we had an opportunity to select one tool.

I would say that it would be the visualization tool, but that makes the semantic layer as well.

From your experience, what were some of the biggest mistakes or maybe some misconceptions organizations have when pursuing the data fabric or semantic layer initiatives?