Knowing the roles in data science
The Azure cloud offers an extensive range of services for use in advanced analytics and data science. Before we dive into these, it is crucial to understand the different roles in the data science ecosystem. In previous chapters, while always looking through the lens of a data architect, we saw workloads that are typically operationalized by data engineers, database administrators, and data analysts.
Up until now, the chapters followed the journey of data through a data platform, from ingestion to raw storage to transformation, data warehousing, and eventually, visualization and dashboarding. The advanced analytics component is more separated from the entire solution, in the sense that most data architectures can perform perfectly without it. This does not take away from the fact that adding advanced analytics such as machine learning predictions can be a valuable enhancement to a solution.
The environment for advanced analytics introduces some...
