Might be a very basic question, But just wanted to know. How the predictive models that are built, tested with some test data are implemented to the production data?
I previously worked on mainframe environment, where the programs run in batch mode in the nights and processes the data. How should we think about in data analytics? Is that something the R program that we write runs similarly in a batch mode at certain intervals?
Any sort of advice or pointers to certain links would be really helpful. I could not find one.