Let’s do some feature engineering, training, and inference with Snowpark ML and the dbt Python models. First with with 50k rows and then with 50M rows, to prove how this new toolkit helps us scale with Snowflake — while the dbt Python models take care of all the boilerplate. — Intro Snowpark ML is a new set of tools for building and deploying machine learning models in Snowflake. The best part is that you get familiar ML constructs (Scikit-Learn, XGBoost, LightGBM, …), paired with all the power, security, and scalability of Snowflake.