Fair point. Databricks owns a scheduling DAG (Workflows, DLT). What I meant by "owns the DAG" is the semantic DAG: model-to-model dependencies with column-level types that the compiler builds.
Workflows knows task A runs before task B. Rocky knows `dim_customer.email` flows from `raw_users.email_address` through three CTEs in `stg_customers`. Different layer, same word.
Workflows knows task A runs before task B. Rocky knows `dim_customer.email` flows from `raw_users.email_address` through three CTEs in `stg_customers`. Different layer, same word.
I'll be more careful with that framing.