Astronomer Webinars

Join us for upcoming online events!

August 8, 2024

What’s New in the Astro Platform Release, Q2 2024

Hosted By

Kenten Danas Manager, Developer Relations
Ian Moritz Software Engineer
Conor Beverland Senior Director, Product Management

The latest release of Astro, Astronomer’s fully managed Airflow platform, includes new features that let you unify workloads, improve pipeline resilience, and automate infrastructure provisioning and management.

August 15, 2024

Modern Infrastructure for World Class AI Applications

In this webinar, Astronomer and Weaviate cover how they are providing modern infrastructure for world class AI applications, and how to best build production-quality applications with the latest advances in ML and AI.

Watch Recorded Webinars On-Demand

June 15, 2023

Streamlining Data Pipelines with Sophi: An Airflow Journey

Sophi.io, a leading AI-powered content optimization platform, faced scale challenges as their data pipeline grew using Apache Airflow®. Learn how Sophi optimized their data pipelines after migrating from Amazon Managed Workflows for Apache Airflow® (MWAA) to Astronomer and dramatically improved their data pipeline scalability and reliability.

June 6, 2023

Airflow 101: How to get started writing data pipelines with Apache Airflow®

Apache Airflow® is an open source tool for authoring, scheduling, and monitoring your data pipelines In this webinar, we’ll cover everything you need to get started with Apache Airflow®.

May 30, 2023

How to monitor your pipelines with Airflow and Astro alerts

In this webinar, we’ll show how Airflow’s notifications and Astro’s deployment and pipeline monitoring and alerting ensure you always know what’s going on in your pipelines.

May 23, 2023

Implementing data quality checks with the Astro SDK

In this webinar, we’ll give an overview of the Astro SDK and how it can be used to create ELT pipelines with integrated data quality checks in Python or SQL. We’ll cover everything you need to get started using this open source tool to ensure errant data never ends up in production.