Model Creation and Scoring from Data in DataRobot

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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.

Hosts

• Mike Taveirne (DataRobot, AI Engineer)
• Rajiv Shah (DataRobot, Customer Facing Data Scientist)

Now what? 

After watching the learning session, you should check out more information about how DataRobot uses databases for machine learning data.

DataRobot Documentation:

• Generate Snowflake UDF Scoring Code
• Scoring Code
• Data Connections
• Creating and Managing Data Connectors

About the author

Linda Haviland

Community Manager

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