You can use pydantic models to define schemas, validate data (we also load instances of the models natively): https://dlthub.com/docs/general-usage/resource#def

You can use pydantic models to define schemas, validate data (we also load instances of the models natively): https://dlthub.com/docs/general-usage/resource#define-a-schema-with-pydantic https://dlthub.com/docs/general-usage/resource#define-a-sche... We have a PR (https://github.com/dlt-hub/dlt/pull/594 https://github.com/dlt-hub/dlt/pull/594) that is about to merge that makes the above highly configurable, between evolution and hard stopping: - you will be able to totally freeze schema and reject bad rows - or accept the data for existing columns but not new columns - or accept some fields based on rules'