Best practices for running Airflow at scale
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In this webinar, we’ll cover best practices for running Airflow at scale so you can provide your teams with a robust, reliable Airflow service.
Astronomer Webinars
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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
What’s New in Airflow 2.4
In this webinar, we’ll cover all the great 2.4 updates that make Airflow even more powerful and observable.
A Deep Dive into the Airflow UI
In this webinar, we’ll take an in-depth tour of the Airflow UI and cover the many features that users may not be aware of.
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.
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.
The Astro Python SDK Load File Function
Learn about the Astro Python SDK load_file function. See how to get data from filesystems into a data warehouse with only a few lines of code.
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.
The SQL Table Check Operator
See how to use the SQLTableCheckOperator from the new Common SQL provider package. Find out how to use it to implement data quality checks in your DAGs.
Airflow 101: Essential Tips For Beginners - Aug 2022
Learn the basics of Airflow and its key functionalities from our experts. Get tips on how to programmatically author, schedule, and monitor data pipelines.
The SQL Column Check Operator
Check out how to use the SQLColumnCheckOperator to implement data quality checks in your DAGs, making sure that errant data never makes it to production.
