What is industry standard for workflow when training models?
There are online models and there are offline models. Online models make sense when you need to have your model constantly be updated. Otherwise you can save money by updating your model as frequently as necessary; nightly, weekly, etc. The machines used to train models are resources that cost money, after all, and you do not want to reserve them longer than necessary.

One trick to save time is to use the last run's model parameters as initial values for the next iteration.