Modernizing legacy ETL workloads with Airflow
- George Yates Field Engineer
- Jake Roach Commercial Field Engineer
How to Migrate Legacy ETL Workloads from Informatica to Airflow DAGs Using DAG Factory
The latest insights from our team of Apache Airflow® experts.
How to Migrate Legacy ETL Workloads from Informatica to Airflow DAGs Using DAG Factory
Discover Autodesk’s secure UAT environment for PII testing, achieving faster deployments and reduced technical debt, powered by Airflow and Astronomer.
TrackFly turned to Astronomer’s managed Airflow solution, Astro, to streamline their ETL (Extract, Transform, Load) workflows and focus on core business goals.
Find out how we use data to keep track of what’s happening in the Airflow project.
Discover the Astro Python SDK—an open-source framework for writing Airflow data pipelines.
Astro is now available on AWS, Microsoft Azure, and Google Cloud in 47 regions across six continents. Learn more on our blog.
Learn about Airflow 2.3’s new grid view. Find out how to easily visualize complex representations in Airflow’s UI with this long-awaited intuitive feature.
Learn about Astronomer Providers — a collection of open-source operators, hooks, and sensors that allow you to schedule long-running tasks asynchronously.
Astronomer is a finalist for the 15th Annual Ventana Research Digital Innovation Awards, recognized for innovative technologies in their markets.
Discover Astro – the data orchestration platform powered by Airflow. Find out how to build, run, and observe data pipelines efficiently and with context.
Learn how the new Astro CLI commands provide a great DAG development experience for Airflow users. Get to know the dev parse and dev pytest commands.
Hear some reasons organizations consider building their own Apache Airflow® infrastructures, and how a fully managed service makes you more competitive.
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