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Astronomer Webinars

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Optimizing ML/AI Workflows with Essential Airflow Features

Hosted By

  • Kenten Danas Kenten Danas Manager, Developer Relations
  • Tamara Fingerlin 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.

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Using Airflow with Azure Data Factory

While Airflow and ADF (Azure Data Factory) have pros and cons, they can be used in tandem for data pipelines across your organization. In this webinar, we’ll cover how using the two together can really get you the best of both worlds!

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Monitor Your DAGs with Airflow Notifications

Anytime you’re running business critical pipelines, you need to know when something goes wrong. Airflow has a built in notification system that can be used to throw alerts when your DAGs fail, succeed, or anything in between. In this webinar, we’ll do a deep dive into how you can customize your notifications in Airflow to meet your needs.

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Intro to Airflow for ETL With Snowflake

ETL is one of the most common data engineering use cases, and it's one where Airflow really shines. In this webinar, we'll cover everything you need to get started as a new Airflow user, and dive into how to implement ETL pipelines as Airflow DAGs.

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Getting Started With the Official Airflow Helm Chart

The official helm chart of Apache Airflow is out! The days of wondering what Helm Chart to use in production are over. Now, you only have one chart maintained and tested by Airflow PMC members as well as the community. It’s time to get your hands on it and take it for a spin! At the end of the webinar, you will have a fully functional Airflow instance deployed with the Official Helm Chart and running within a Kubernetes cluster locally.

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Dynamic DAGs

In this webinar, we'll talk about when you might want to dynamically generate your DAGs, show a couple of methods for doing so, and discuss problems that can arise when implementing dynamic generation at scale.

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Using Airflow with Multiple AWS Accounts

In AWS, it's common for organizations to use multiple AWS accounts for various reasons, from Dev, Stage, Prod accounts to accounts being dedicated to LOBs. What do you do when your Data Pipeline needs to span AWS accounts? This webinar will show how you can run a single DAG across multiple AWS accounts in a secure manner.

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