We’ve talked a lot about optimizing queries and query performance, but we haven’t really touched that much on the storage and data modelling aspects. In this series of post, I’ll run through some basic tips on how you can more efficiently model and store your data, which may come in particularly handy when you’re working with large databases and large transaction volumes, but a lot of it also makes good design sense in smaller databases.
In this first article, we’ll cover the normalized data model.