Common Sense Data
Juha KorpelaWritings on data that (should) make sense. Tackling the difficult non-technical problems relating to data modeling, data governance, data team operating models, and many more!
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 18 | Founded | a year ago | Last Issue | 21 days ago |
| Active | |||||
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commonsensedata.substack.comLatest Issues
Building Semantics with Conceptual Models
Data consumers need to understand what they are consuming. This was always true, way before AI agents. I’ve been practicing, speaking, writing, teaching, and learning continuously more about conceptual modeling for well over a decade now, a...
Solution-level Thinking is Killing Us
It’s cheaper, faster, and easier than ever to produce solutions to various problems. Tell Claude what you want, and it is done; we have entered an era of abundance for software. The economics of this post-scarcity world1 are both enthusiasm...
Semantic Linking: Managing Mappings
In the last article, I wrote about the concept of “aboutness”. It was an argument for separating the data object (table, column, view, file…) from the semantic object (term, concept…) and connecting the two. This connection, of course, is a...
Semantic Linking: the Aboutness of Data
Having data without semantics means you’re flying blind. Having semantics without data means you don’t have a plane to fly. The combination is what we’re after - and how that combination is achieved is the subject of today’s article.
I wro...
The Quest for Semantic Architecture
We need more semantics. What we have now isn’t cutting it; not in terms of what our AI solutions need, but also not in terms of what we humans need. Data needs context - has always needed, will always need. The current ways of implementing...
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Authors
The writers behind this newsletter.
Data modeling enthusiast & independent consultant at Datakor Consulting
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