Model Creation and Scoring from Data in DataRobot

February 11, 2020
· 1 min read

This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about the DataRobot AI Platform, data science, and more.

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)

Now what? 

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

DataRobot Documentation:

Public Documentation
Find All the Information to Succeed with DataRobot and Machine Learning
Visit Now

About the author
Linda Haviland
Linda Haviland

Community Manager

Meet Linda Haviland
  • Listen to the blog
  • Share this post
    Subscribe to DataRobot Blog
    Newsletter Subscription
    Subscribe to our Blog