DAG Writing Best Practices
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Whether you’re writing traditional ELT/ETL pipelines or complex ML workflows, you’ll learn how to make Airflow work best for your use case.
Astronomer Webinars
Join us for upcoming online events!
Introduction to Observability for Data Pipelines
In this webinar, we’ll give an overview of data observability for Airflow, including topics like tracking data lineage, detecting anomalies, monitoring data quality, and insights into the performance of your data operations.
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.
Watch Recorded Webinars On-Demand
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.
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.
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.
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.
Using Airflow as a Data Analyst
A data analyst’s workflow typically involves ingesting and transforming data and Airflow is the perfect tool to orchestrate analytics workflows.
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.
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.
