Microsoft Fabric data preparation jobs - Dataflow Gen1, Apache Airflow jobs, mounted Azure Data Factory pipelines, and dbt job governance for deterministic prep workflows.
Microsoft Fabric data preparation jobs - Dataflow Gen1, Apache Airflow jobs, mounted Azure Data Factory pipelines, and dbt job governance for deterministic prep workflows.
Use this skill when the user asks to establish or govern deterministic Microsoft Fabric data preparation job workflows across Dataflow Gen1, Apache Airflow, mounted Azure Data Factory pipelines, or dbt jobs.
Fail-fast statement: if required context, cloud compatibility, or grants are missing, stop and return a contract error before making API calls.
Redaction statement: redact tenant/workspace/item identifiers and never reveal secrets, bearer tokens, client secrets, or certificate material.
Preview Caveat
dbt job orchestration/governance can be preview-only in some tenants. Confirm feature availability before write operations and avoid assuming backward compatibility.
Execution Pattern
Validate integration context and identity grants.
Read current item state and policy guardrails.
Propose deterministic change plan (inputs, retries, concurrency, lineage, ownership).
Apply minimal update.
Re-read state and report redacted diff plus next verification action.
Command Map
/prep-setup
/airflow-job-manage
/adf-mount-manage
/dataflow-gen1-manage
/dbt-job-manage
References
API patterns: skills/fabric-data-prep-jobs/references/api-patterns.md