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Model Creation and Scoring from Data

lhaviland
Community Team
Community Team
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(Part of an MLOps learning session series.)

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 Community:

DataRobot licensed customers: search in-app Platform Documentation for Data connections and Managing JDBC drivers

Questions?

Also, if you have comments or questions that weren't answered in the learning session, click Comment (below) and post them now.

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