Understanding Docker for Data Engineering (opens in new tab)

In your data engineering journey, you may have pipelines running locally inside your development environment, and it works beautifully, on your machine. But what happens if you want to hand over a project to a colleague, deploy it to a shared server managed by your team leader, or push it to a cloud provider? Suddenly, a storm of errors appears. Like...: You don't have PostgreSQL 15 installed locally?" "Your machine is running an older version of Python that doesn't support that syntax?" "You...