Astronomer Webinars

Join us for upcoming online events!

April 25, 2024

Optimizing ML/AI Workflows with Essential Airflow Features

Hosted By

Kenten Danas Manager, Developer Relations
Tamara Fingerlin Developer Advocate

In this webinar, you’ll learn best practices for using the latest Airflow features, including those recently released in Airflow 2.9, for generative AI and general machine learning use cases.

Watch Recorded Webinars On-Demand

August 2, 2022

The SQL Column Check Operator

In this session we’ll show how you can easily use the SQLColumnCheckOperator operator to implement data quality checks in your DAGs, ensuring that errant data never makes it to production.

July 26, 2022

Using Airflow with Tensorflow and MLFlow

We’ll delve further into how Airflow can be integrated with Tensorflow and MLFlow specifically to manage ML pipelines in production, using a worked example to demonstrate.

July 19, 2022

Reusable DAG Patterns with TaskGroups

In this session we’ll show how Astronomer’s data and intelligence team uses TaskGroups to reduce the amount of code the team has to write while adhering to DAG authoring best practices.

July 12, 2022

Anatomy of an Operator

Operators are the building blocks of Apache Airflow. In this webinar we’ll look under the hood, covering everything you need to know about operators to tailor them for your use cases.

July 5, 2022

Using the Snowflake Deferrable Operator

Live with Astronomer will dive into using the Snowflake Deferrable Operator. We’ll show how with a very small update to your DAGs, you can start saving money when orchestrating your Snowflake queries with Airflow.

June 28, 2022

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.

June 21, 2022

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.

May 31, 2022

Intro: Getting Started with Airflow

What is Airflow? Apache Airflow is a platform used to programmatically author, schedule, and monitor data pipelines.

May 24, 2022

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.

Astronomer Webinars

Watch Recorded Webinars On-Demand

Ready to Get Started?