1 link tagged with all of: analytics + data-modeling + architecture + semantics + complexity
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This article explores a shift in data modeling from rigid orthodoxies to a more pragmatic approach. It emphasizes starting with simple structures, adding complexity only when necessary, and leveraging semantic clarity for flexibility across different modeling techniques.
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