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.
Use Apache Airflow® with DuckDB and MotherDuck in three different ways. Access the DuckDB Python package directly, leverage the DuckDB Airflow provider, and use DuckDB with the Astro Python SDK.
Use ~1,000 open-source Airflow operators and define your own custom operators in the Astro Cloud IDE with the newly released cell type functionality
Beyond MWAA: Top 7 data orchestration tools for optimized workflows and increased productivity.
Picking the right tools for your data stack depends on your exact business and engineering needs, and the choice may seem daunting. Thankfully, there are several popular tools, each with thousands of users, all with a unique approach for managing data pipelines.
Migrating the Astronomer Registry’s backend from Airtable to Postgres and a Golang REST API
This new functionality in Astro lets you easily implement DAG-level or task-level alerts to be sent to Slack or PagerDuty.
Apache Airflow® 2.6 contains over 500 commits from over 130 contributors, adding up to 35 new features, 50 general improvements, and 27 bug fixes.
Announcing Kubernetes Executor support in Astro. You can now take advantage of the power of Kubernetes to manage resources & scale your Airflow workloads.
Ensure that all code changes are deployed within your CI/CD processes, increase code quality, and enforce automated testing.
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