How MLOps and DataOps differ from regular DevOps

A question that we often encounter in any sort of technical industry in general is: what is the difference between a data role and a non-data role? What would be the difference between a software and data engineer, a data analyst and an accountant, or a DJ and a music composer? It is something employers ask a lot; people speculate on whether one is a subgroup of another or whether they are completely different. Even in the Swedish language, dator means “computer,” science is translated as vetenskap, and computer science is referred to as datavetenskap, so at some point whatever entity that designs and updates the Swedish language thought that there was very little to distinguish between the two.

We will now explain this through a couple of common DevOps use cases that can be applied and used in these more narrowed fields of DataOps and MLOps. For DataOps, we will go through a method that is simple but has saved me a...