Workshop: Operationalizing ML Features on Snowflake with Tecton
Many organizations have standardized on Snowflake as their cloud data platform. Tecton integrates with Snowflake and enables data teams to process ML features and serve them in production quickly and reliably, without building custom data pipelines.
In this workshop, David provides a demo of how to implement a recommendation system with the Tecton and Snowflake integration along with coding examples (also available in a GitHub repository to follow along). You will learn how to:
- Build new features using Tecton’s declarative framework
- Automate the transformation of batch data directly on Snowflake
- Automate the transformation of real-time data using Snowpark
- Create training datasets from data stored in Snowflake
- Serve data online using DynamoDB or Redis