Implementing reliable ETL & ELT pipelines with Airflow and Snowflake

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’ll cover everything you need to know to orchestrate ETL operations in Snowflake with Airflow, including:

• Loading data into Snowflake from S3.
• Running transformations on data in Snowflake using Airflow operators.
• Running data quality checks on data in Snowflake.