[SEASON 2 EP 1] The Essentials (and not-so essentials) of Data Science Pipelines

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Presented by

Will Nowak, Triveni Gandhi

About this talk

In our season 2 inaugural episode, we’re debating how to approach data science pipelines (are they cyclical or linear? How should we test them?) - and how tools like Python and Kafka may not be all they’re hyped up to be in AI. Learn more about the articles referenced in this episode below: Standards comic (xcd) We are Living in “The Era of Python” by Rinu Gour (Towards Data Science) Is Kafka Overrated? thread (GitHub Gist)

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