Model Creation and Scoring from Data

Community Team
Community Team
0 0 849

(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.

Welcome Zepl!
We're excited to welcome Zepl and its employees and customers to DataRobot! The acquisition of Zepl and integration of its self-service data science notebook solution will provide additional flexibility for data scientists who prefer to code. In her blog article, Tricia Lee explains how you can check out Zepl today. Please have a look, give it a spin, and let us know what you think.

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.

Learn about DataRobot Release 7.0
Have a look at all the great innovations and enhancements. To make sure you get a chance to hear about all the changes and ask your questions, Richard (Senior Director of Product Marketing) put together and presented a DataRobot Release 7.0 webinar. Check out the on-demand webinar, and let us know if you are looking for more details!