The four pillars of data observability: metrics, metadata, lineage, and logs

Re:The four pillars of data observability: metrics, metadata... by metadat on Sunday August 14, 2022 @11:31AM (#32460059)

Edit: I went and read TFA, and must say there were some red flags. CS people who add "PhD" beside their name are not only pretentious, but are trying to throw their academic weight around instead of letting their ideas and presentation stand on its own. Filled with more marketing fluff than useful information. Ugh.

I'm siding with you on this. I've "undowned" you and upvoted instead; Sorry xcamber!

If you're really concerned, email dang ([email protected]) and ask him to look into it. As a sidenote, if you actually flag out of suspicion of a voting ring or other feelings without real evidence, it is abusing the power you've been entrusted with. Threads like this one are also way off topic, seems more considerate to submit an "Ask HN" post rather than hijack the story discussion.

The group dynamics are often surprising on HN.

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Re:The four pillars of data observability: metrics, metadata... by kzh_ on Sunday August 14, 2022 @12:55PM (#32460771)

OP here, I only try to write and share things that I find personally interesting, so if it came across as marketing fluff that was the opposite of what I was aiming for :/. But I do appreciate you reading the whole thing. FWIW I also thought including PhD might be pretentious.

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Re:The four pillars of data observability: metrics, metadata... by ctxc on Sunday August 14, 2022 @01:26PM (#32461080)

Hi OP! It would be nice to have some examples to go with the article. Some set of minimum data and sample "lineage" etc.

This has broadened my perception of data though, I never linked this with the good old thermodynamic principles.

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Re:The four pillars of data observability: metrics, metadata... by kzh_ on Sunday August 14, 2022 @01:40PM (#32461213)

Thanks for reading! Including examples is a great point, because otherwise the article can be kind of abstract, especially because each person has a different mental model of data. I'll add some later on.

Maybe thermodynamics is a hammer that makes all things seem like nails, but the connections pop up all over the place. Entropy is another highly applicable concept to data systems.

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Re:The four pillars of data observability: metrics, metadata... by Archelaos on Sunday August 14, 2022 @03:57PM (#32462388)

I would say inlcuding CEO is far more pretentious. A PhD at least means something more substantial, because it requires an external certification.

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Re:The four pillars of data observability: metrics, metadata... by Dwolb on Sunday August 14, 2022 @06:01PM (#32463398)

Adding “PhD” and other credentialed titles is standard SEO practice these days.

The thought is Google sees the article as from a “credible source” and ranks you higher.

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