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.

Past Webinars

December 13, 2022

Airflow 101: Essential Tips For Beginners - Dec 2022

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

December 6, 2022

Data-Aware Scheduling with the Astro Python SDK

Live with Astronomer dives into implementing data-aware scheduling with the Astro Python SDK. The new Airflow Datasets feature allows you to schedule DAGs based on updates to your data and easily view cross-DAG relationships. This feature is part of the Astro Python SDK, so it requires almost no effort from the DAG author to implement. We'll show you everything you need to do (and don't need to do) to take advantage of Datasets.

November 29, 2022

Running Airflow Tasks in Isolated Environments

Running tasks in a separate environment can help you avoid common data pipeline issues, like dependency conflicts or out-of-memory errors, and it can save resources. Airflow DAG authors have multiple options for running tasks in isolated environments. In this webinar, we'll cover everything you need to know.

November 15, 2022

How to Migrate from Oozie to Airflow: A Guided Walkthrough

Migrating between orchestrators can be a difficult process fraught with technical and organizational hurdles. However, the end result of applying Airflow’s orchestration capabilities is worth the effort, and working with the right partner can make this journey much easier. In this webinar, we’ll cover everything you need to know about migrating from Oozie to Airflow.

November 8, 2022

The New DAG Schedule Parameter

Live with Astronomer will discuss the new consolidated `schedule` parameter introduced in Airflow 2.4. We’ll provide a quick refresher of scheduling concepts and discuss how scheduling DAGs is easier and more powerful in newer versions of Airflow.

November 1, 2022

Batch Inference with Airflow and SageMaker

We’ll walk through using the new SageMaker Async Operators, as well as the new SageMaker OpenLineage integration, for end-to-end ML OPs for batch inference use cases.

October 25, 2022

Dynamic Task Mapping on Multiple Parameters

On October 25, Live with Astronomer will dive into updates to the dynamic task mapping feature released in Airflow 2.4. We’ll show a couple of new methods for mapping over multiple parameters, and discuss how to choose the best mapping method for your use case.

October 18, 2022

Dynamic Tasks in Airflow

With the releases of Airflow 2.3 and 2.4, users can write DAGs that dynamically generate parallel tasks at runtime. In this webinar, we’ll cover everything you need to know to implement dynamic tasks in your DAGs.

October 11, 2022

Data Driven Scheduling

In this session, Live with Astronomer explores the new datasets feature introduced in Airflow 2.4. We’ll show how DAGs that access the same data now have explicit, visible relationships, and how DAGs can be scheduled based on updates to these datasets.

Astronomer Webinars

Past Webinars

Ready to Get Started?