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.
One year ago, we rolled out a new incident management process. Read on to find the past, present, and future of incident management at Astronomer.
Discover how Dosu leverages Astronomer to streamline data orchestration for AI applications, ensuring reliable pipelines and boosting productivity. Learn how this partnership enhances AI development and supports open-source communities.
Discover how we created an efficient release note system with Towncrier. Minimized friction and improved developer workflows.
ADF excels in creating quick and low-code data jobs with an intuitive UX. By layering in Airflow’s expressiveness orchestration capabilities on top of ADF workflows, developers get end-to-end visibility of their workflows without needing to migrate any jobs.
Astronomer has moved! At the start of this year, we relocated our headquarters to the heart of New York City at 50 West 23rd Street to support our growing business and customer base
A walkthrough of Astro's architecture and deployment model
The value of Astro: a summary of Forrester’s Total Economic Impact™ Study
A demonstration of how a platform team can develop a template Astro project for bootstrapping Astro projects for development teams. We demonstrate how to use Cookiecutter for developing a template project and Cruft for synchronizing generated projects with changes in the template project.
In this post we will cover how we had implemented a solid MLOps pipeline and data orchestration with the help of Airflow in multiple use cases.
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