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
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