Data Pipeline Orchestration Workflow
Orchestrate a multi-stage data pipeline with dependency management, retry logic, and failure notification.
Objective
Build a reliable data pipeline with proper orchestration and error handling.
Environment
- A pipeline orchestration tool
- Multiple data processing stages with dependencies
- A monitoring and alerting system
Steps
1. Define stages
Break the pipeline into discrete stages with clear inputs and outputs.
Expected state: Each pipeline stage is defined with its data contract.
2. Set dependencies
Configure stage dependencies so each stage runs only after its inputs are ready.
Expected state: Stage dependencies are configured in the orchestrator.
3. Add retry logic
Configure retry policies for transient failures with exponential backoff.
Expected state: Each stage has a retry policy for transient errors.
4. Set up alerting
Configure failure notifications for pipeline errors and SLA breaches.
Expected state: Pipeline failures trigger alerts to the team.
5. Test the pipeline
Run the pipeline end-to-end and verify all stages complete successfully.
Expected state: The full pipeline runs successfully from start to finish.
Decision points
Airflow or Dagster?
- Airflow for simplicity
- Dagster for data awareness
Use Airflow for general task orchestration; Dagster for data-aware pipelines with strong typing.
Expected outcome
A fully orchestrated data pipeline with dependencies, retries, and alerting is operational.
Verification
Trigger the pipeline and confirm all stages complete; verify failure alerts fire when a stage is forced to fail.
Cleanup
Pause the pipeline if it causes downstream issues; investigate before resuming.
Orchestration handles complexity
As pipelines grow, manual scheduling breaks. An orchestrator manages dependencies, retries, and monitoring automatically.
Implementation Notes
This workflow provides a structured approach to ensure consistent results across team members and environments.
Common Pitfalls
Skipping verification steps or rushing through the process can lead to incomplete results. Always follow each step in order and verify before proceeding.
Quick Reference
# Execute the workflow steps as documented above
echo "Workflow completed successfully"