Case Study: Dish reduces data pipeline complexity and speeds delivery with Apache Airflow

A Apache Airflow Case Study

Preview of the Dish Case Study

Dish - Customer Case Study

The customer Dish was facing challenges with managing complex data pipelines using lengthy crontabs. This required meticulous scheduling due to resource constraints and a reliance on custom code for retry logic and step verification. These operational hurdles created significant idle time between processing stages, slowing down their overall time to results.

By implementing Apache Airflow, Dish leveraged its extensive ecosystem of community-built operators and hooks to automate their workflows. This solution eliminated the need for custom-coded solutions, allowing them to focus on business outcomes. The results included a major reduction in data delivery times, such as removing over two hours of waiting between stages, a simpler and more maintainable codebase, and faster iteration on data products.


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Dish

Austin Benett

Dish


Apache Airflow

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