Imagine you have a spreadsheet where you track student enrollments — names, courses, instructors, grades — all jammed into one big table. At first it seems convenient, but soon you notice that changing an instructor’s name means updating dozens of rows, and accidentally deleting the last student in a course wipes out all knowledge of that course. Normalization is the process that fixes these headaches by structuring data so each fact lives exactly where it belongs.