Here's a real world use case, I'm trying to resolve... The Vertipaq Engine cannot handle complex DAX measures which compute highly intensive financial metrics across a few hundred/thousand investors (e.g. Net IRR %). This has been a common problem within the Investment Management industry which I know through Investment Directors of large Investment Houses knowledge sharing. Is Notebooks using code like PySpark powerful enough to handle more complex calculations across a larger dataset?

@Will Needham So good!