#ASTRONOMER APACHE AIRFLOW CODE#

Anything you can do in Python, you can do in Airflow.

Dynamic data pipelines: In Airflow, pipelines are defined as Python code.

With orchestration, actions in your data pipeline become aware of each other and your data team has a central location to monitor, edit, and troubleshoot their workflows.Īirflow provides many benefits, including: It is especially useful for creating and orchestrating complex data pipelines.ĭata orchestration sits at the heart of any modern data stack and provides elaborate automation of data pipelines. Why use Airflow Īpache Airflow is a platform for programmatically authoring, scheduling, and monitoring workflows.

Airflow is used by thousands of data engineering teams around the world and adoption continues to accelerate as the community grows stronger. On December 17th 2020, Airflow 2.0 was released, bringing with it major upgrades and powerful new features. As of August 2022 Airflow has over 2,000 contributors, 16,900 commits and 26,900 stars on GitHub.

The project joined the official Apache Foundation Incubator in April of 2016, and graduated as a top-level project in January 2019. To satisfy the need for a robust scheduling tool, Maxime Beauchemin created Airflow to allow Airbnb to quickly author, iterate, and monitor batch data pipelines.Īirflow has come a long way since Maxime's first commit. Airbnb data engineers, data scientists, and analysts had to regularly write scheduled batch jobs to automate processes. In 2015, Airbnb was growing rapidly and struggling to manage the vast quantities of internal data it generated every day. See the Python Documentation.Īirflow started as an open source project at Airbnb. To get the most out of this guide, you should have an understanding of: You'll learn:įor a hands-on introduction to Airflow using the Astro CLI, see Get started with Apache Airflow. This guide offers an introduction to Apache Airflow and its core concepts.

#ASTRONOMER APACHE AIRFLOW CODE#

Airflow allows data practitioners to define their data pipelines as Python code in a highly extensible and infinitely scalable way. It has over 9 million downloads per month and an active OSS community. Apache Airflow is an open source tool for programmatically authoring, scheduling, and monitoring data pipelines.

Astronomer apache airflow