Astronomer Webinars

Join us for upcoming online events!

Streamlining Data Pipelines with An Airflow Journey, a leading AI-powered content optimization platform, faced scale challenges as their data pipeline grew using Apache Airflow. Learn how Sophi optimized their data pipelines after migrating from Amazon Managed Workflows for Apache Airflow (MWAA) to Astronomer and dramatically improved their data pipeline scalability and reliability.

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Past Webinars

The Python Task Decorator

Live with Astronomer will dive into the Python task decorator. We’ll show how to easily turn your Python functions into tasks in your DAG using functional programming, and how using the Python task decorator can limit the boilerplate code needed in your DAGs.

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ML in Production with Airflow

Although often regarded as a data engineering and pipelining tool, Airflow is also wildly popular among machine learning teams. In this webinar, we’ll dive into how Airflow can consolidate various ML tools into dependable production systems.

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Airflow Grid View

Live with Astronomer will dive into the new Airflow Grid View introduced in Airflow 2.3. The Grid View replaces the Tree View, and provides significant insight into DAG and task run history. We’ll cover all the Grid View features, and touch on the possibilities this view opens up for future Airflow feature development.

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Dynamic Task Mapping

On May 24, Live with Astronomer will dive into the Dynamic Task Mapping feature introduced in Airflow 2.3. We’ll show how to easily add dynamic tasks to your DAGs, and discuss ways to make the best use of this feature.

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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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Using Airflow as a Data Analyst

Airflow is sometimes thought of as primarily a data engineering tool, but its use cases are really much broader. A data analyst’s workflow typically involves ingesting and transforming data to extract insights, then presenting the insights in a manner that allows business stakeholders to easily interpret trends and take appropriate action. Airflow’s ease of use and extensive provider ecosystem make it an ideal tool for orchestrating such analytics workflows.

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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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