A huge part of the "data revolutions" that we've seen in the last few decades really has nothing to do with data and everything to do with process. Data Wareho

A huge part of the "data revolutions" that we've seen in the last few decades really has nothing to do with data and everything to do with process. Data Warehouses changed the way people and companies do data. They expose all kinds of things that were never available before. It was magic! No. It wasn't. Not that Data Warehouses are bad or ineffective. But it's a lot like the problem you face when you observing something changes it. The work you have to go through to build a real data warehouse is that you have to get disparate parts of an organization to codify process. Data warehouses don't model data. They model processes. The mere fact of forcing the company to pin the process is often more beneficial than the warehouse itself. The same thing goes for ML and AI. The only way to extract features is for them to actually exist. And that means the data needs to exist in a certain form, and there's a human process that leads to that. Absent that, it's pretty useless. I cut my teeth on SQL, and it's a big part of my professional career. I think it's great. It's one of my favorite languages, and it does a lot that maybe a lot of people don't know about. But this title and the content are really pretty garbage. Anyone who thinks that good SQL can do what good AI/ML can do is really misunderstanding both.