Develop ML Pipelines with the Astro Cloud IDE
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In this webinar, we’ll show how the Astro Cloud IDE is the easiest way to develop and test your ML pipelines and schedule them with Airflow.
Astronomer Webinars
Join us for upcoming online events!
Past Webinars
How to easily test your Airflow DAGs with the new dag.test() function
In this “Live with Astronomer” session, we’ll dive into the new `dag.test()` function, which allows you to debug DAGs directly in your IDE in a single, serialized Python process. We’ll show how this function lets you quickly iterate and debug errors during your DAG development, and even test argument-specific DAG runs.
How to Improve Data Quality with Airflow's Great Expectations Operator
In this webinar, Airflow Engineering Advocate Benji Lampel will demonstrate the new features of the Great Expectations Operator, which make Great Expectations more Airflow-centric and simpler to use. The latest set of releases under the new repository hosted by Astronomer provides some dramatic changes, including a default Checkpoint feature. The webinar will feature a demo of the new operator and how to use these features.
How to Save Money using Airflow’s asynchronous Azure operators
Many Azure users leverage Airflow for best-in-class orchestration of their Azure services. Recent updates to the Azure provider have brought greater functionality and new Airflow features to Azure operators. In this “Live with Astronomer” session, we’ll dive into the newly developed asynchronous Azure operators that offer cost savings and greater scalability. We’ll show how with only small updates to your DAGs, you can take advantage of asynchronous functionality when orchestrating services like Azure Data Factory and Azure Databricks.
Simplified DAG Authoring with New Airflow Features
In this webinar, we’ll cover best practices for implementing important open-source features and frameworks that will simplify the DAG-authoring process.
The Airflow Templates VS Code Extension
In this “Live with Astronomer” session, we’ll walk through one of those contributions – new Airflow Templates VS Code extension, which includes code completion for all Airflow Provider operators.
Debugging your Airflow DAGs
In this webinar, you'll learn how to easily and effectively debug your DAGs when an error inevitably occurs.
Using the new Fivetran provider
With more than 30,000 downloads per month, the Fivetran provider for Airflow is incredibly popular. Using Fivetran and Airflow together gives users the benefits of first-class orchestration, pipelines as code, and automated ELT processes.
What’s New in Airflow 2.5
In this webinar, we’ll cover all the great 2.5 updates that make Airflow even easier to use and implement at scale.
Organizing Your Airflow Project Code with the Astro CLI
One of the benefits of Airflow is having pipelines as Python code, which lets you treat your data pipelines like any other piece of software. In this “Live with Astronomer” session, we’ll dive into how to use the open-source Astro CLI to effectively manage your Airflow project code so you can share code with your team, test DAGs before you deploy them, keep your code organized for easy reviews, and more.
