Best practices for running Airflow at scale
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In this webinar, we’ll cover best practices for running Airflow at scale so you can provide your teams with a robust, reliable Airflow service.
Astronomer Webinars
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The State of Airflow 2025
Our panel of experts will discuss the state of Airflow in 2025, including trends and results from the recent annual Airflow survey.
Watch Recorded Webinars On-Demand
Best Practices for Writing DAGs in Airflow 2
Because Airflow is 100% code, knowing the basics of Python is all it takes to get started writing DAGs. However, writing DAGs that are efficient, secure, and scalable requires some Airflow-specific finesse. In this webinar, you’ll learn the best practices for writing DAGs that will ensure you get the most out of Airflow. We’ll include a reference repo with DAGs you can run yourself with the Astro CLI.
Iterative Data Quality in Airflow DAGs
See why data quality is a valuable part of data systems and how to get started integrating data quality checks into existing pipelines with various tools.
Intro to Apache Airflow® Orchestration and Data Organization
With Apache Airflow®'s orchestration capabilities, manage your data like never before. Discover how to leverage Airflow in any company.
Scheduling In Airflow
Learn about DAG scheduling in Airflow and see how to define schedule intervals. Understand the difference between cron expressions and timedelta objects.
Everything you Need to Know About Airflow 2.2
In this informative webinar we will cover everything you need to know about Airflow 2.2. We'll go through all of the new features large and small, as well as show you how to leverage all of the new features and how you can get cleaner and more efficient DAGs as a result
Testing Airflow to Bullet Proof Your Code
Join our webinar and find out how to test Airflow code and integrate tests in a CI/CD pipeline to ensure your code works before deploying to production.
Manage Dependencies Between Airflow Deployments, DAGs, and Tasks
In this webinar our experts show how to properly set up dependencies and define an order of execution or operation for your pipelines using dependencies.
Create Powerful Data Pipelines by Mastering Sensors
Do you use Sensors in your data pipelines? Do you need to wait for a file before executing the next step? Are you looking to execute your task after a task completes in another DAG? Would you like to wait for an import in your SQL table before executing the next task?
Using Airflow with Azure Data Factory
In this webinar, Astronomer's experts cover how Airflow and Azure Data Factory (ADF) can be used together for data pipelines across your organization.
