I think it’s less of an issue. The way analytics often work enterprise, is that you pay someone a lot of money to build cubes on your data that does a big chunk of the actual data science, before it’s handed off to economists who can’t code.
Then they’ll build their BI models in some high level drag and draw system, and pay extra whenever they realize they didn’t get everything they needed in a cube.
The only place I’ve seen actual data scientists is at the university or at the 100% software companies that sell both the solution and the data cube. I’ve never met a real world analytic who could actually code. :p
You’d want to keep a separate dB for your analytics either way though, as they typically eat up quite a lot of load and you don’t want that to interfere with your production environment when you don’t have to.
Then they’ll build their BI models in some high level drag and draw system, and pay extra whenever they realize they didn’t get everything they needed in a cube.
The only place I’ve seen actual data scientists is at the university or at the 100% software companies that sell both the solution and the data cube. I’ve never met a real world analytic who could actually code. :p
You’d want to keep a separate dB for your analytics either way though, as they typically eat up quite a lot of load and you don’t want that to interfere with your production environment when you don’t have to.