DevOps for Data Science | DevOps Lab

Created by Krishan Kumar, Modified on Sun, 30 Aug, 2020 at 5:50 PM by Krishan Kumar

Damian talks to Microsoft's Paige Bailey as well as MVP Terry McCann about DevOps for Data Science.


These two really popular fields are not often combined, but there are some fantastic opportunities for cross-pollination of ideas. Damian, Paige and Terry discuss what's important to data scientists and where to start when it comes to a DevOps process. From using source control, testing and refreshing predictive models to operationalizing and evaluating success in production.


Data scientists are rarely developers, and developers are rarely data scientists, but they can work together, using tools and techniques that still allow the experts to do what they do best!




For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy . Also, if you need any further assistance then you can raise a support ticket and get it addressed. 


Was this article helpful?

That’s Great!

Thank you for your feedback

Sorry! We couldn't be helpful

Thank you for your feedback

Let us know how can we improve this article!

Select at least one of the reasons
CAPTCHA verification is required.

Feedback sent

We appreciate your effort and will try to fix the article