Why data scientists shouldn’t need to know Kuberne...
# randomk
Kevin Kho
09/14/2021, 4:35 AM
Why data scientists shouldn’t need to know Kubernetes
This post is to argue that while it’s good for data scientists to own the entire stack, they can do so without having to know K8s if they leverage a good infrastructure abstraction tool that allows them to focus on actual data science instead of getting YAML files to work.
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Evan Curtin
09/14/2021, 2:33 PMtitle is intentional clickbait 😉
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Kevin Kho
09/14/2021, 2:35 PM
Hey you present very well. You should present Perfect too some time 😛
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Evan Curtin
09/14/2021, 2:51 PMI could try; tbh I’m still truggling to decide between prefect and airflow at my new gig
Evan Curtin
09/14/2021, 2:51 PMis there an up-to-date comparision since Airflow 2.0?
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Kevin Kho
09/14/2021, 2:54 PM
Unfortunately I haven’t seen a detailed one. This might be a bit there? Maybe you know of it since you’re from Chicago?
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Evan Curtin
09/14/2021, 2:56 PMill take a look over lunch
Evan Curtin
09/14/2021, 2:57 PMThe last time i was at those meetups was when i originally presented the content of that video i linked, maybe 2-3 years ago now
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