Access reference architecture and the accompanying GitHub repository that guides you through ELT with Apache Airflow and Snowflake.
You can adapt the reference pipeline for your use case by ingesting data from other sources, adjusting the SQL transformations, and changing the dashboard to fit your needs.
In this guide, you will learn how to:
- Use Apache Airflow to orchestrate data ingestion into object storage and a data warehouse.
- Transform data and visualize it on a dashboard using Snowflake.
- Implement several key best practices and features of Apache Airflow.
You can follow the full build process in the Implementing reliable ETL & ELT pipelines with Airflow and Snowflake webinar.
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