Model Creation and Scoring from Data in DataRobot
In this learning session, DataRobot AI Engineer Mike Taveirne shares some insights and a demo that illustrates how to use databases with DataRobot. Mike’s demo uses Snowflake to explain how to configure a database connection via JDBC. He also explains considerations on where to apply pre-DataRobot preprocessing or feature engineering of data (Python, SQL) as well as setting up scoring pipelines.
- Mike Taveirne (DataRobot, AI Engineer)
- Rajiv Shah (DataRobot, Customer Facing Data Scientist)
After watching the learning session, you should check out more information about how DataRobot uses databases for machine learning data.
- Generate Snowflake UDF Scoring Code
- Scoring Code
- Data Connections
- Creating and Managing Data Connectors