In this article, author Lena Hall discusses how to use Apache Airflow to define and execute distributed data pipelines with an example of the workflow framework running on Azure cloud platform.

Airflow 3 delivers precisely that, transforming how teams build, deploy, and manage modern data pipelines.

In today's data-driven world, unreliable pipelines lead to broken dashboards, late reports, and untrustworthy analytics. Data Engineers face increasing pressure to ensure their data pipelines deliver ...

Apache Airflow—the open source workflow management platform for data engineering pipelines, used by a variety of leading companies such as Uber, Ford, and LinkedIn—is an invaluable tool to have in an ...

The Apache Airflow technology was created by Airbnb as a way to help better organize and manage the flow of information in data pipelines.

Apache Airflow is a great data pipeline as code, but having most of its contributors work for Astronomer is another example of a problem with open source.

The open source Apache Airflow data orchestration technology is adding new features to help enterprises build better data pipelines and understand where data is coming from.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight.