AI Prompts

Prove a dbt incremental model handles updates, late data, deletes, and full refreshes, with fixtures that would catch silent drift.

Choose an incremental load pattern (merge, append, or CDC) and spell out keys, late data handling, and warehouse-safe implementation steps.

Define practical data-quality checks and thresholds for a critical table, including fail vs warn severity and owner next steps.

Generate a production-ready dbt model with tests, docs, and naming that match the stated warehouse grain, without inventing columns.