Idempotent Data Pipelines: Handling Partial Failures with dbt and Airbyte
Business Context and the Importance of Idempotency In distributed data systems, failures are a mathematical certainty. APIs drop connections, external databases experience lockups, and compute nodes hit memory limits. When a pipeline fails midway—a partial failure—it leaves the data warehouse in an unknown state. If a pipeline lacks idempotency, resolving a partial failure requires manual…
