- DA collects, cleans, analyzes data from a domain and highlights trends and patterns.
- DS uses DA’s dataset to train a model that captures the domain’s behaviour.
- DE codes the model into an application that sits on top of a data pipeline that continuously collects and cleans data, and re-trains the model. 3 roles complement each other.
