ETL and ELT are some of the most common data engineering use cases, and Snowflake is one of the most commonly used data warehouses. It’s no surprise then that over 90% of users use Airflow for ETL/ELT pipelines, and the Snowflake provider for Airflow is one of the most widely used provider packages. Using Airflow with Snowflake is straightforward, and there are multiple open source packages, tools, and integrations that can help you realize the full potential of your existing Snowflake instance.

In this webinar, we cover everything you need to know to orchestrate ETL operations in Snowflake with Airflow. You can find more about the reference architecture shown in the webinar, including a link to the code, in this doc.