Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines.

This eBook covers:

• An overview of ETL vs. ELT and decision making criteria on choosing your pipeline architecture strategy
• Key DAG writing best practices like setting automatic retries, testing and scaling DAGs, and avoiding top-level DAG code
• An overview of Airflow features that can elevate your ETL and ELT pipelines, including dynamic task mapping, data-driven scheduling, and custom XCom backends