What Are the Best Practices for Normalisation of Data in Database Design? or How Does Normalisation o

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Over-normalising can kill perf, yeah. But under-normalising? That’s tech debt waiting to happen.

I’d say:
- Normalise first, optimise later.
- Use indexes wisely.
- Cache heavy queries.

Reddit’s r/Database has solid threads on this. Also, PostgreSQL docs explain normalisation of data really well.

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