How to Make Your Data Pipelines More Dynamic Using Parameters in Prefect

Parametrization is one of the most critical features of any modern workflow orchestration solution. It allows you to dynamically overwrite parameter values for a given run without having to redeploy your workflow.

Most orchestration frameworks provide rather limited functionality in that regard, such as only allowing to override global variables. Prefect, however, provides a first-class abstraction for handling dynamic parametrized workflows.

This post provides an in-depth guide on how to pass runtime-specific parameter values to your data pipelines. It also discusses common pitfalls to avoid and best practices around parametrization.