The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Stefan Groschupf no published score: only 1 usable exchange on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered raw tape D 5 · C 4 · P 4 · Cm 4 4.30

Q Last, um, last question from me, and then I'll open it up to, to, to you guys. There was a, uh, there's a white paper on, uh, your website about, uh, big data and the Internet of Things. Is there, is there anything specific about IoT data, or is it just data, fundamentally?

A Yeah, it's interesting, right? You have just a higher velocity there. You have, um, more variety there. So, again, I'm, I'm not a big fan of the world big data. I think, um, uh, big data is a big buzzword from big company to make big money. Um, but, um, what I see on a daily basis is that people struggle with data complexity. In the context of IoT, again, your complexity goes to the roof because you have a backend infrastructure. You have a NoSQL database. You have log files. You have data that comes from the devices. Every device has maybe slightly different JSON stream that it sends because you updated the firmware. Anyhow, you guys who works in IoT knows that kind of stuff. So yeah, again, and that comes back to that schema on read thing. You cannot, you do not know what schema you need in the future. Therefore, I do not believe in kind of the schema on write, hive approach, but very much on the schema on read approach. Think cascading, um, think casc, um, I think, um, you know, Datamere obviously, but anyhow.

AI assessment note: “In the context of IoT, again, your complexity goes to the roof”

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