Snowflake users can now build production-grade machine learning pipelines using Tecton and Snowflake by integrating their platforms through a first-class integration. Tecton provides a simple, declarative way to define features and feature services, which are then applied to the Snowflake environment. The user can generate accurate training data and retrieve serving data in real-time via Tecton's REST API, allowing for efficient and scalable model inference. With this integration, users can build production-ready ML data pipelines using Python code, abstracting away complexity and reducing development time from weeks to minutes.