The fact of the matter is that, while it is a tempting idea it's far from easy. The interfaces may not be that hard, but the storage itself will have its challenges and building a fast ad-hoc inference & representation learning layers on top of it is a huge project.
After working on Aito's DB and ML parts for several years, I can promise: it's more work & harder than it looks :-)
Yeah I trust you, I use and contribute to rdbms and am a bit familiar with their innards.
The key thing you want to enable is eg Tableau. Building classifications and predictions into something business people rather than devs use would be a promising strategy.
Recently I’ve been using presto to make various things appear to be conventional db tables, and getting computed data into tableau that way.
The fact of the matter is that, while it is a tempting idea it's far from easy. The interfaces may not be that hard, but the storage itself will have its challenges and building a fast ad-hoc inference & representation learning layers on top of it is a huge project.
After working on Aito's DB and ML parts for several years, I can promise: it's more work & harder than it looks :-)