Introducing Apache Airflow® 3.0
Be among the first to see Airflow 3.0 in action and get your questions answered directly by the Astronomer team.
Astronomer Webinars
Join us for upcoming online events!
Optimizing your Airflow Developer Experience: Exploring DAG Versioning and Backfills
Explore how new features in Airflow 3.0, including DAG versioning and backfills, can improve your productivity and help you manage your pipelines more efficiently. Whether you are an experienced Airflow user or just getting started, you’ll learn how to quickly troubleshoot and manage your pipeline history.
New in Airflow 3.0: Data Assets and Event-Driven Scheduling Deep Dive
Learn how Airflow 3.0 is expanding on assets, the foundational datasets feature, by introducing asset watchers, the most powerful option for event-driven scheduling in Airflow to date
Airflow 3.0 Security Enhancements: Remote Execution and Task Isolation Deep Dive
In this session, we’ll break down these architectural changes and show you how to use these new features to run your tasks anywhere
Watch Recorded Webinars On-Demand
Reusable DAG Patterns with TaskGroups
In this session we’ll show how Astronomer’s data and intelligence team uses TaskGroups to reduce the amount of code the team has to write while adhering to DAG authoring best practices.
Anatomy of an Operator
Operators are the building blocks of Apache Airflow®. In this webinar we’ll look under the hood, covering everything you need to know about operators to tailor them for your use cases.
Using the Snowflake Deferrable Operator
Live with Astronomer will dive into using the Snowflake Deferrable Operator. We’ll show how with a very small update to your DAGs, you can start saving money when orchestrating your Snowflake queries with Airflow.
Writing Functional DAGs with Decorators
In this webinar, we’ll demystify decorators and show you everything you need to know to start using decorators in your DAGs.
The Python Task Decorator
See how to turn Python functions into tasks in your DAG with functional programming and how the Python task decorator limits the boilerplate code in DAGs.
Intro: Getting Started with Airflow
Learn the basics of Apache Airflow® and see the features it includes. Get to know how to programmatically author, schedule, and monitor your data pipelines.
Dynamic Task Mapping
Dive into the Dynamic Task Mapping feature introduced in Airflow 2.3 with Astronomer experts. See how to quickly and easily add dynamic tasks to your DAGs.
Astronomer Providers
This webinar will dive into the Astronomer Providers repository, which includes Airflow Providers containing Deferrable Operators and Sensors created by Astronomer. We’ll go beyond the basics to look at key implementation details and best practices.
What’s New in Airflow 2.3
The Airflow project is rapidly evolving, with frequent releases bringing advancements in DAG authoring, observability, and project stability. We’re super excited for the release of Airflow 2.3, which comes with big changes in the flexibility of DAG creation, improvements to the Airflow UI, and much more.
