Model a small Dagster pipeline with an upstream source, transformed asset, and downstream report. Run it, inject a bad input, and observe how the failure is surfaced, retried, and explained to the operator. Check schedules, backfills, and lineage with representative data volumes.
Orchestration is useful when it improves trust in data flow, not when it merely moves a cron job into a UI. Define owners and alert paths, and verify that a rerun cannot silently duplicate side effects.