The adapter bridges two ecosystems that have historically required separate mental models — batch-oriented dbt and stream-processing Flink. With it, a team can define a streaming transformation in the same `.sql` model format they already use for warehouse jobs, with dbt handling lineage, testing, and documentation. This lands alongside the dbt v2.0 alpha (announced the same day at Snowflake Summit), which means the timing is deliberate. Whether the adapter reaches full parity with warehouse adapters — especially around incremental strategies and test coverage — is the open question worth watching.