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.

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

As the driving force behind open-source workflow management platform Apache Airflow, Astronomer Inc. uses it to author, monitor and schedule data pipelines for optimal data orchestration ...

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.

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.

Join us for a deep dive into the next evolution of Data Observability, where we'll explore how modern data teams are proactively ensuring pipeline reliability, detecting anomalies before failures ...

As per the reports and industry forecasts, the convergence of AI with orchestration frameworks like Apache Airflow and Cloud Composer is expected to become standard practice across data-intensive ...

Apache Airflow is turning heads these days. It integrates with many different systems and it is quickly becoming as full-featured as anything that has been around for workflow management over the last ...

• Apache Airflow allows data engineers to assemble and manage workflows involving multiple sources of data. With Airflow, engineers can create a pipeline reflecting the relationships and ...

Airflow has become popular among developers because it simplifies many aspects of creating data pipelines. According to Astronomer, the tool is used by hundreds of thousands of data teams.