Astronomer Webinars
Join us for upcoming online events!
Optimizing your Airflow Developer Experience: Exploring DAG Versioning and Backfills
Explore how new features in Airflow 3.0, including DAG versioning and backfills, can improve your productivity and help you manage your pipelines more efficiently. Whether you are an experienced Airflow user or just getting started, you’ll learn how to quickly troubleshoot and manage your pipeline history.
New in Airflow 3.0: Data Assets and Event-Driven Scheduling Deep Dive
Learn how Airflow 3.0 is expanding on assets, the foundational datasets feature, by introducing asset watchers, the most powerful option for event-driven scheduling in Airflow to date
Airflow 3.0 Security Enhancements: Remote Execution and Task Isolation Deep Dive
In this session, we’ll break down these architectural changes and show you how to use these new features to run your tasks anywhere
Watch Recorded Webinars On-Demand
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.
Using Airflow with Tensorflow and MLFlow
Delve into how Apache Airflow® can be integrated with Tensorflow and MLFlow specifically to manage ML pipelines in production and see a worked example.