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

March 14, 2023

How to Automate and Scale Data Ingestion with Fivetran and Airflow

In this webinar, we’ll dive into the newly updated Fivetran provider and discuss the benefits of using Airflow and Fivetran together for your ELT pipelines. We’ll cover how to implement the available Fivetran operators to orchestrate sync jobs, how to leverage asynchronous functionality for cost savings, and how to use lineage generated from Fivetran tasks to get insight into your data pipelines.

March 7, 2023

How to easily test your Airflow DAGs with the new dag.test() function

In this “Live with Astronomer” session, we’ll dive into the new `dag.test()` function, which allows you to debug DAGs directly in your IDE in a single, serialized Python process. We’ll show how this function lets you quickly iterate and debug errors during your DAG development, and even test argument-specific DAG runs.

February 28, 2023

How to Improve Data Quality with Airflow's Great Expectations Operator

In this webinar, Airflow Engineering Advocate Benji Lampel will demonstrate the new features of the Great Expectations Operator, which make Great Expectations more Airflow-centric and simpler to use. The latest set of releases under the new repository hosted by Astronomer provides some dramatic changes, including a default Checkpoint feature. The webinar will feature a demo of the new operator and how to use these features.

February 21, 2023

How to Save Money using Airflow’s asynchronous Azure operators

Many Azure users leverage Airflow for best-in-class orchestration of their Azure services. Recent updates to the Azure provider have brought greater functionality and new Airflow features to Azure operators. In this “Live with Astronomer” session, we’ll dive into the newly developed asynchronous Azure operators that offer cost savings and greater scalability. We’ll show how with only small updates to your DAGs, you can take advantage of asynchronous functionality when orchestrating services like Azure Data Factory and Azure Databricks.