Data science
What You Should Know Before Deploying ML in Production
They were data scientists.The primary persona is a data scientist.The primary persona is a data engineer.The canonical pipeline here is data to data.The canonical pipe is from data to model.Then we have Dataset which is for distributed data loading.Then we have data orchestration that is about data preparation.Then we have data orchestration that is about data preparation.It's all about talking with data scientists, developers, data engineers, machine learning engineers.Then capture the governance data for the end-to-end machine learning lifecycle is another important aspect.