after looking at some Xprof outputs on hadoop, I'm reminded that big data is mostly about string serialization and deserialization. (or how much carbon are we burning because java uses utf16 vs utf8).
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Actually, I just realized after I submitted my tweet that you were talking about string serialization specifically, where this might not be as useful, but I still think you should check out the talk regardless for other types of deserialization
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https://www.twitch.tv/ekmett/video/291249101 … is probably more watchable than that video, but doesn't go so far.
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Different but related work that has been trending recently https://dawn.cs.stanford.edu/2018/08/07/sparser/ …
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