AI Foresights — A New Dawn Is Here
Back to homebest ai tools

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

Towards Data Science Kiril Kazlou April 29, 2026
4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers
AI Summary— plain English for professionals

# 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.

Read full article on Towards Data Science

Get new guides every week

Real AI income strategies, tool reviews, and plain-English news — free in your inbox.

or enter email