Episode
DevOps for Data Science
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!
Follow Paige on Twitter: @DynamicWebPaige
Follow Terry on Twitter: @SQLShark
Follow Damian on Twitter: @damovisa
Resources:
- The DataOps Manifesto
- Microsoft AI School
- Visual Studio Team Services
- Create a Free Azure Account: https://aka.ms/c9-azurefree
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!
Follow Paige on Twitter: @DynamicWebPaige
Follow Terry on Twitter: @SQLShark
Follow Damian on Twitter: @damovisa
Resources:
- The DataOps Manifesto
- Microsoft AI School
- Visual Studio Team Services
- Create a Free Azure Account: https://aka.ms/c9-azurefree
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