4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers

# Analysts Can Now Build Data Systems Without Waiting for Engineers A company figured out how to let their data analysts create data pipelines—the systems that move and organize information—by writing simple configuration files instead of complex programming code. This change cut the time to deliver new data systems from weeks down to just one day, since analysts no longer had to request help from software engineers for every project.
How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day. The post 4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers appeared first on Towards Data Science.
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