Astronomer Webinars

Join us for upcoming online events!


Watch Recorded Webinars On-Demand

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.

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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.

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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.

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OpenLineage and Airflow: A Deeper Dive

Data lineage is the complex set of relationships between your jobs and datasets. Using OpenLineage with Apache Airflow®, you can observe and analyze these relationships, allowing you to find and fix issues more quickly. This webinar will provide a deeper dive on OpenLineage, extending beyond the basics into key implementation details and best practices.

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Improve Your DAGs with Hidden Airflow Features

Apache Airflow® is flexible and powerful. It has a rich ecosystem and an incredibly active community. But are you sure you haven’t missed anything? A new feature or concept that could put your DAGs at another level? It can be challenging to keep up with the latest Airflow features, and sometimes we miss the most useful ones. For this webinar, I'd like to introduce you to a couple of lesser-known features of Apache Airflow® that can dramatically improve your data pipelines.

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Scaling Out Airflow

Learn about the process of scaling out Airflow with Celery and Kubernetes Executor and the parameters that need to be tuned when adding nodes to Airflow.

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The Airflow API

Learn about Airflow’s fully stable REST API. Find out how to use it and why it’s a great tool for managing and monitoring data pipelines.

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