Yetunde Dada

Your data platform team didn't sign up to be a Dag factory. But when Airflow expertise is concentrated in a small group of engineers, that's exactly what happens.

Code produced by data scientists is under attack! There are a growing series of conference talks, Medium blog posts and business stakeholders telling a story of how changing business objectives are driving interest in production-level code.

Learn how easy it is to apply software engineering principles to your data science and data engineering code. Expect an overview of Kedro, a library that implements best practices for data pipelines with an eye towards productionizing ML models.