Subject
3 entries
Kedro
Bookmarks
Production Code for Data Science: Our Experience with Kedro
Beamery's engineering team shares their experience using Kedro to bring software engineering discipline to data science code in production — covering what worked, what required adaptation, and how the pipeline structure changed their team's workflows.
Migrate Kedro Pipeline to Vertex AI
A walkthrough by Ivan Nardini on migrating a Kedro data science pipeline to run on Google Vertex AI Pipelines — covering the Kedro-Vertex plugin, pipeline conversion, and deployment. Shows how Kedro's portability story works in practice against a major cloud ML platform.
Kedro: Production-Ready Data Science Pipelines
Kedro is an open-source Python framework for building reproducible, maintainable, and modular data science pipelines — applying software engineering principles (catalogs, pipelines, project templates) to ML workflows. The answer to 'how do data science teams write production-grade code.'