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
How to use DuckDB with Airflow
In this “Live with Astronomer” session, we’ll dive into the best ways to use DuckDB with Airflow.
How to pass data between your Airflow tasks
In this webinar, we’ll cover the implementation and nuances of different methods for passing data between your Airflow tasks.
How to test and debug your Airflow connections
We’ll dive into the easiest ways to test and debug your Airflow connections. We’ll show how the new `dag.test()` function allows you to test connections without even running Airflow, how new Airflow UI features make testing connections faster, and how to solve common issues that arise when working with connections.
4 Things To Consider When Deciding How to Run Airflow
Teams can run Airflow themselves, go with a managed infrastructure option like MWAA and GCC, or choose Astro. Whether you’ve been running Airflow in production for years or if you’re just thinking about the right Airflow strategy is for your team, we’ll go through all the options available.
Astro Product Roadmap
Join the Astronomer team to learn more about upcoming Astro features and our product roadmap.
How to Orchestrate Machine Learning Workflows with Airflow
In this webinar on machine learning orchestration with Apache Airflow®, we’ll provide an overview of machine learning orchestration, its importance in managing ML workflows, and how it fits in with MLOps.
How to Orchestrate Databricks Jobs Using Airflow
In this “Live with Astronomer” session, we’ll dive into Cosmos, an open-source framework developed by Astronomer for dynamically generating Airflow DAGs from other tools.
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.
How to easily test your Airflow DAGs with the new dag.test() function
Learn how to use Airflow's new dag.test() function to quickly test and debug your DAGs in your IDE, speeding up development and improving reliability.