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Astronomer Webinars

Join us for upcoming online events!

Watch Recorded Webinars On-Demand

Dynamic Tasks in Airflow

With the releases of Airflow 2.3 and 2.4, users can write DAGs that dynamically generate parallel tasks at runtime. In this webinar, we’ll cover everything you need to know to implement dynamic tasks in your DAGs.

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Data Driven Scheduling

In this session, Live with Astronomer explores the new datasets feature introduced in Airflow 2.4. We’ll show how DAGs that access the same data now have explicit, visible relationships, and how DAGs can be scheduled based on updates to these datasets.

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Data Transformations with the Astro Python SDK

On September 13, Live with Astronomer will dive into implementing data transformations with the Astro Python SDK. The Astro Python SDK is an open source Python package that allows for clean and rapid development on ELT workflows. We’ll show how you can use the transform and dataframe functions to easily transform your data using Python or SQL and seamlessly transition between the two.

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Implementing Data Quality Checks in Airflow

Executing SQL queries — one of the most common use cases for data pipelines — is a simple way to implement data quality checks. In this webinar, we’ll cover everything you need to know about using SQL for data quality checks.

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The Astro Python SDK

Learn about the newly released Astro Python SDK version 1.0.—an open-source tool that allows for rapid and clean development of ETL workflows using Python.

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