Building Data Pipelines
Pipelines automate data processing workflows.
Airflow
Apache Airflow defines workflows as DAGs. Operators: PythonOperator, BashOperator, Sensor.
Schedule with cron expressions. Monitor via web UI.
Luigi
Spotify's Luigi provides pipeline building. Task/Target pattern defines dependencies.
Prefect and Dagster
Modern alternatives to Airflow. Prefect provides easier UI. Dagster integrates with dbt.
Key Takeaways
- Airflow defines pipelines as DAGs
- Luigi provides pipeline building blocks
- Modern tools simplify pipeline creation