Model Creation and Scoring from Data

Community Team
Community Team
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(Part of a data engineering 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 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.

Announcements
BIG NEWS: The DataRobot Community is getting a new look!
Over the next few weeks, we'll be reorganizing some of our content to provide you with faster & easier help for your DataRobot questions. Stay tuned and check out the upcoming DataRobot Community Newsletter for more information!

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