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Airflow is sometimes thought of as primarily a data engineering tool, but its use cases are really much broader. A data analyst’s workflow typically involves ingesting and transforming data to extract insights, then presenting the insights in a manner that allows business stakeholders to easily interpret trends and take appropriate action. Airflow’s ease of use and extensive provider ecosystem make it an ideal tool for orchestrating such analytics workflows.
In this webinar, we'll showcase how analytics pipelines can be orchestrated in Airflow, including:
- Leveraging Airflow connections to integrate with your analytics tools
- Seamlessly orchestrating jobs in external tools like Databricks and Snowflake
- Sending reporting data to Tableau
Lead Developer Advocate
Machine Learning Intern