Apache Airflow
Orchestration
Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. We use it to orchestrate complex data pipelines and ensure reliable data processing.
Why We Use It
- Python-Based: Define workflows as code using Python
- Scheduling: Robust scheduling with cron-like expressions
- Monitoring: Rich UI for monitoring and troubleshooting
- Extensible: Hundreds of operators for different systems
- Scalability: Can scale from single machine to clusters
Use Cases
- ETL/ELT pipeline orchestration
- Data warehouse refresh scheduling
- Multi-step data processing workflows
- Task dependency management