Setting up MLOps for repeatable pipelines when using scikit-learn Not every AI problem requires a large language model. In many enterprise environments, the most valuable systems are still well engineered, explainable, repeatable and operationally governed. This is where classical machine learning pipelines still provide benefit and Scikit-learn remains one of the strongest foundations for these… Continue reading MLOps for Scikit-learn
Federating Data Between Snowflake and Databricks with DuckDB and Apache Iceberg If you're running both Snowflake and Databricks — and most enterprises I work with are — you've probably hit the federation problem. Data lives in both platforms, analysts need to query across them, and the obvious solutions (ETL everything into one place, or pay… Continue reading Ducks on Icebergs
Faster Insight, Better Reuse, and Scalable Data Foundations Healthcare organisations face growing demand for better use of data: improving operational performance, supporting population health management, enabling AI, and accelerating research. Yet many still rely on fragmented pipelines, duplicated transformations, and slow bespoke data requests. At the same time, the economics of technology have changed. Modern… Continue reading Explaining Medallion Data Architectures in Healthcare
API Crazy 