How did you get that idea? What are the two types of literature? Am I too deep? Should I ask you a bit more?

No, I think that I understand where you are going, because this is something that I have been using also to kind of sell or pitch the book.

Because in my career, I've read a lot of data literature.

I started doing ETLs myself with Pentaho.

And I've lived all the transformation from a BI engineer that transitioned into a data engineer that transitioned into a manager of data engineers.

And then all the transformation with the data mesh approach, the distributed data ownership, treating data as a product, right? So I have a lot of knowledge that I have been building on the data side.

So that's one part of the literature that I think that people in data, we understand very well, and we know what it is a slow changing dimension.

Yeah, and that's, I guess it taps a little bit into the next question, which is, so what's the real motivation behind this blending of literature and this book? Why do you want to make data? Why do you want to make product teams data driven? And how do you make, so why do you want to make product teams data driven? And how do you make product teams data driven? Why?