Database tests often fail due to inconsistent, ad‑hoc data; this guide shows how combining data seeding (to create consistent, repeatable fixtures) with factory patterns (to generate diverse, scenario‑rich records) produces reliable, scalable tests across environments—illustrated with an e‑commerce checkout workflow and practical steps to expand coverage.