Schema evolution for pragmatists

Schema evolution is an inevitable reality in data engineering, but it doesn't have to mean constant pipeline failures. In this post, we break down three pragmatic patterns for handling upstream changes: ignoring them, failing fast with strict Pydantic validation, or building adaptive "bridges." Learn how to choose the right strategy based on your business's risk tolerance.