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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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OpenLineage and Airflow: A Deeper Dive

Data lineage is the complex set of relationships between your jobs and datasets. Using OpenLineage with Apache Airflow®, you can observe and analyze these relationships, allowing you to find and fix issues more quickly. This webinar will provide a deeper dive on OpenLineage, extending beyond the basics into key implementation details and best practices.

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Improve Your DAGs with Hidden Airflow Features

Apache Airflow® is flexible and powerful. It has a rich ecosystem and an incredibly active community. But are you sure you haven’t missed anything? A new feature or concept that could put your DAGs at another level? It can be challenging to keep up with the latest Airflow features, and sometimes we miss the most useful ones. For this webinar, I'd like to introduce you to a couple of lesser-known features of Apache Airflow® that can dramatically improve your data pipelines.

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Scaling Out Airflow

Learn about the process of scaling out Airflow with Celery and Kubernetes Executor and the parameters that need to be tuned when adding nodes to Airflow.

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The Airflow API

Learn about Airflow’s fully stable REST API. Find out how to use it and why it’s a great tool for managing and monitoring data pipelines.

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Data Lineage with OpenLineage and Airflow

If one out of your hundreds of DAGs fails, how do you know which downstream datasets have become out-of-date? The answer is data lineage. Data lineage is the complex set of relationships between your jobs and datasets. In this webinar, you'll learn how to use OpenLineage to collect lineage metadata from Airflow and assemble a lineage graph - a picture of your pipeline worth way more than a thousand words.

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Best Practices for Writing DAGs in Airflow 2

Because Airflow is 100% code, knowing the basics of Python is all it takes to get started writing DAGs. However, writing DAGs that are efficient, secure, and scalable requires some Airflow-specific finesse. In this webinar, you’ll learn the best practices for writing DAGs that will ensure you get the most out of Airflow. We’ll include a reference repo with DAGs you can run yourself with the Astro CLI.

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