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The Essentials (and not-so essentials) of Data Science Pipelines
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.
Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!
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)
View all episodes
By Dataiku
4.8
2020 ratings
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.
Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!
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)