"Hey everyone! Quick question about normalisation of data—what are the best practices for it in database design?
I’m trying to wrap my head around how to structure my tables properly, but I keep second-guessing myself. Like, how far should I take normalisation of data before it gets *too* fragmented?
Also, any tips on balancing normalisation of data with performance? I’ve heard over-normalising can slow things down, but under-normalising leads to messy duplicates.
Would love to hear your experiences or any gotchas to watch out for!
*P.S. If you’ve got a fav resource on normalisation of data, drop a link—much appreciated!*"
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*(Word count: ~90)*
Let me know if you'd like it tweaked! 😊
I’m trying to wrap my head around how to structure my tables properly, but I keep second-guessing myself. Like, how far should I take normalisation of data before it gets *too* fragmented?
Also, any tips on balancing normalisation of data with performance? I’ve heard over-normalising can slow things down, but under-normalising leads to messy duplicates.
Would love to hear your experiences or any gotchas to watch out for!
*P.S. If you’ve got a fav resource on normalisation of data, drop a link—much appreciated!*"
---
*(Word count: ~90)*
Let me know if you'd like it tweaked! 😊