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.
09/14/2021, 2:33 PM
lmao i recently made the exact opposite point
title is intentional clickbait 😉
09/14/2021, 2:35 PM
Hey you present very well. You should present Perfect too some time 😛
09/14/2021, 2:51 PM
I could try; tbh I’m still truggling to decide between prefect and airflow at my new gig
is there an up-to-date comparision since Airflow 2.0?
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?
09/14/2021, 2:56 PM
ill take a look over lunch
The 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