Apache Airflow Use Cases & Real-World Scenarios
Real-world examples of how organizations use Airflow to orchestrate complex data workflows.
1. Modern ELT Pipeline with dbt
Problem: Need to orchestrate Fivetran ingestion → dbt transformations → data quality checks → BI refresh
Solution:
Benefits: Automated end-to-end pipeline, data quality gates, failure alerts
2. Machine Learning Model Training Pipeline
Problem: Retrain ML models weekly with new data, evaluate, and deploy if improved
Solution:
3. Multi-Cloud Data Synchronization
Problem: Sync data between AWS S3, Google BigQuery, and Azure Blob Storage
Solution: Airflow orchestrates cross-cloud transfers with error handling and monitoring
4. CDC Pipeline with Kafka
Problem: Process change data capture events from Kafka into data warehouse
Solution: Airflow schedules micro-batch processing of Kafka topics
5. Report Generation & Distribution
Problem: Generate PDF reports daily and email to stakeholders
Solution: Query data → Generate charts → Compile PDF → Email distribution