This document gives a few concrete before/after normalization examples to make the repository easier to review quickly. The goal is to show how noisy operational fields are reduced to placeholders so ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

When you design a relational database, you're making decisions about how to organize data into tables and how those tables relate to each other. Normalization is the theoretical framework that guides ...