Dev Ops for Data Science

We revisit the 2018 Microsoft Build in this episode, focusing on the latest ideas in DevOps. Kyle interviews Cloud Developer Advocates Damien Brady, Paige Bailey, and Donovan Brown to talk about DevOps and data science and databases. For a data scientist, what does it even mean to “build”?

Guests

Damien Brady: I'm a Senior Manager in the Developer Advocacy team at GitHub, based in Brisbane, Australia. Formerly a Cloud Advocate at Microsoft for 4 years, and prior to that a dev at Octopus Deploy and a Microsoft MVP, I have a 20+ year background in software development and consulting in a broad range of industries. In Australia, I co-organised the Brisbane .Net User Group, and launched the annual DDD Brisbane conference. I regularly speak at conferences, User Groups, and other events around the world and over the Internet. Most of the time you'll find me talking to developers, IT Pros, and data scientists to help them get the most out of their DevOps and MLOps strategies.

Paige Bailey

Donovan Brown

Dev Ops for Data Science