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This is a strange article. The body of the article correctly talks about all the model work... but data engineers typically don't have to do any of that work.
by jstx1 4y ago
This is a strange article. The body of the article correctly talks about all the model work... but data engineers typically don't have to do any of that work.
So it's an okay overview of some ML engineering / ops things with a contradictory title which isn't followed up on (and which I'm sure gets more clicks).
So no, MLOps isn't just data engineering. For more information read your own article.
- antonvs 4y agoBetteridge’s Law of Headlines
- cpard 4y agoHey, thanks for the feedback! There is a reason the article has the structure it does. I'm going through the main Pilars of MLOps and explaining how they overlap with data engineering. Also, the title says, "Mostly" not "just" data engineering. It might be misleading if you just go through the sub-headers but I'm sure if you go through the content you will see that the title and the content are pretty aligned.