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 | 16 | Subscribers | Read | commonsensedata.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
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.
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 ...
Why the "Semantic Layer" Isn't Enough for AI
AI needs context, and the most important context is SEMANTICS: what do words mean, and by extension, what does our data mean? As this is now generally accepted to be an absolutely crucial thing in the data & AI industry, a myriad technologi...
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Authors
The writers behind this newsletter.
Data modeling enthusiast & independent consultant at Datakor Consulting
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