The Banana Data Podcast

BDN #11: The Essentials (and not-so essentials) of Data Science Pipelines

November 01, 2019 Season 2 Episode 1
The Banana Data Podcast
BDN #11: The Essentials (and not-so essentials) of Data Science Pipelines
Chapters
The Banana Data Podcast
BDN #11: The Essentials (and not-so essentials) of Data Science Pipelines
Nov 01, 2019 Season 2 Episode 1
Dataiku
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.
Show Notes

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.

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 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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