Superhero team-up! Data scientists and Data engineers - stronger together

As Data superheroes, our job is to be alert at all times for any problems.
However, an individual’s role in the organization has her meeting data in different stages of its lifecycle.
What happens to the data before or after she is done with it?
This webinar examines the touchpoints between key figures: The Data Engineer and Data Scientist. We show how to decrease possible frictions and eliminate duplicate work by using a unified platform for managing the lifecycle of Machine and Deep learning models.