Implementing CI/CD workflows for your Airflow pipelines
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In this session, you’ll learn everything you need to know about using CI/CD to manage your Airflow DAGs.
Astronomer Webinars
Join us for upcoming online events!
Introducing Astro Observe: Pipeline-level Observability
By the end of this webinar, you’ll be ready to take the next step with Astro Observe, now compatible with OSS Airflow, Astro, Amazon Managed Workflows (MWAA), and Google Cloud Composer (GCC).
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.
Modernizing Data Workflows: Moving from legacy schedulers to Airflow
Join us to discover how Airflow helps you deliver workflows faster, minimize downtime, and scale your operations effortlessly. Plus, you’ll see how Astronomer’s Orbiter tool takes the complexity out of migration and allows you to modernize your data operations with ease.
Watch Recorded Webinars On-Demand
Airflow 101: Essential Tips For Beginners - Aug 2022
Learn the basics of Airflow and its key functionalities from our experts. Get tips on how to programmatically author, schedule, and monitor data pipelines.
The SQL Column Check Operator
Check out how to use the SQLColumnCheckOperator to implement data quality checks in your DAGs, making sure that errant data never makes it to production.
Using Airflow with Tensorflow and MLFlow
Delve into how Apache Airflow® can be integrated with Tensorflow and MLFlow specifically to manage ML pipelines in production and see a worked example.
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.
