Data modelling is magic (1)

Data modeling in count is genuinely magical. This idea of this infinite collaborative canvas where you can inject a data model and then explode it out so every single individual CTE can be seen, its results can be checked, its lineage to other parts of the model can be understood, collaborated on in real time with other parts of your team. You can take a sectional model, fork it to the right, and see the results side by side, and do that between different databases. It makes it an amazing way to do data quality, to do to do data model, refactoring, to migrate between different databases. It's just an incredible place to work. And once you've started using it using it two dimensions to help you lay out all these thousands of lines of SQL that everyone has, when they're doing data modeling, it's hard to get back to the, like, the normal IDE, particularly when you can actually, like, review and explore and even visualize your data, as you're modeling it, which makes means that you're doing things in the right order.