Astronomer Webinars

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How to Orchestrate Databricks Jobs Using Airflow

Hosted By

  • Kenten Danas
  • Tamara Fingerlin

In this webinar, you’ll learn how to use Airflow to orchestrate your Databricks Jobs by using the Airflow Databricks Provider, Monitor your Databricks Jobs from Airflow, and write tasks that run Databricks Jobs using familiar DAG code

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Watch Recorded Webinars On-Demand

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.

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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.

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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.

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