Automation (Open)

Learn how to use metrics, checks, and scenarios to schedule jobs and monitor the status and quality of your dataset

Automation (Open)

Curriculum

About this course

About this course

The lifecycle of a data project doesn’t end once a Flow is complete. It’s not possible to Dev/Test a model until it’s perfect because data is ever changing. At the same time, ensuring that your data and models are up-to-date is something that you don’t want to have to do manually. Dataiku DSS has automation features to help with this.

In this course, you will learn the basics of:

  • Scheduling jobs using scenarios
  • Monitoring jobs
  • Monitoring the status and quality of your dataset