Dev Ops for Data Science

Goodreads star ratings can be misleading as measures of "book quality," and research from Hannes Rosenbusch suggests that for many professionally published books, differences between readers often matter more than differences between books. The episode also explores how to model ...  Show more

"DevOps is dead."

Well, not exactly. But the DevOps methodology of "you build it, you run it" has been failing development teams for years.

On this week's episode of Dev Interrupted, we sit down with Kaspar von Grünberg, founder & ...

Data scientists and engineers don’t always play well together. Data scientists will plan out a solution, carefully build models, test them in notebooks, then throw that solution over the wall to engineering. Implementing that solution can take months.

Historically, the d ...

As the race to deliver applications ramps up, the wall between development and operations comes crashing down. When it does, those on both sides learn to work together like never before. But what is DevOps, really? Developer guests, including Microsoft’s Scott Hanselman and Cindy ...  Show more

<span style="font-weight: 400;">On the show this week, we're talking updated DevOps practices for 2022 with hosts</span> <span style="font-weight: 400;">Stephanie Wong</span> <span style="font-weight ...