•1 min read•from Towards Data Science
4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers
Our take
In "4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers," we explore a transformative shift in data management. By leveraging dlt, dbt, and Trino, we've empowered analysts to create efficient data pipelines using just four YAML files, eliminating the need for extensive engineering resources. This innovative approach has significantly reduced our delivery time from weeks to just one day, enabling faster insights and greater productivity. Discover how this streamlined solution is reshaping the future of data workflows.
How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day.
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