Reliability in Data Engineering

I think the biggest thing I kind of took away from like my kind of stint in s re is that a lot of the problems we're seeing in ML ops and in data engineering are all kind of the same shape. Like metric metric or feature stores that do point in time calculations, kind of like feather talks about not being too dissimilar to solving the problem of slowly changing dimensions. The other thing it's kind of shown me is the kind of this like don't standing on the backs of giants kind of thing is like really true in a lot of these bigger companies. And so, we're looking at the game into the binary.

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