Have you heard about the data warehouse model?

A data warehouse model is a structured approach to designing a database that supports business intelligence and analytics. The most common design is the dimensional model, which organizes data into fact tables (measures) and dimension tables (context). A star schema has a single fact table surrounded by dimension tables, while a snowflake schema normalizes dimensions into sub‑dimensions. The model emphasizes read‑heavy workloads, denormalization for query performance, and a clear separation between operational data and analytical data. It also incorporates a data mart layer for specific business units. The goal is to provide a consistent, historical view of data that can be queried quickly by analysts and BI tools. Key benefits include faster query performance, easier maintenance, and a single source of truth for reporting. Typical use cases are sales reporting, financial consolidation, and customer analytics.