ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources.

Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever.

Join Airflow experts to learn:

• An overview of ETL vs. ELT and how to select the right architecture for your use case
• Common DAG patterns for ETL/ELT use cases, including how to connect to other tools in the data ecosystem
• Key Airflow features for creating reliable ETL/ELT pipelines, including dynamic task mapping, assets, and custom XCom backends
• How to make your DAGs dynamic in an efficient and scalable way