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Model Creation and Scoring from Data

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.


  • 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


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

Need a Tip?
DataRobot experts are putting together some helpful DataRobot usage tips for the platform, trial, features, etc. You can find these easily in the Tip of the Day board (under Read). Let us know if you've found a good one or have a good one to add!

DataRobot Release 7.1
Ready to learn about changes in the latest release? See the What's New in DataRobot Release 7.1? article, and the DataRobot Release 7.1 (on-demand) webinar. If you have questions about the release, you can ask them right here!

DataRobot + Zepl
The acquisition of Zepl and integration of its self-service data science notebook solution provides additional flexibility for data scientists who prefer to code. Jason's blog post provides an end-to-end DataRobot demo that uses Zepl notebooks. You can check out Zepl today.

New to DataRobot? Check out all the resources to help you get going quickly! See the quick index for Knowledge Base Resources and quick index for Learning Sessions to find links to some great learning content.