Practical Data Warehouse Design and Architecture Guide

This guide covers practical decisions for designing data warehouses supporting analytics and AI use cases.

• •Modern architecture uses three tiers: data source, storage, and semantic presentation layers
• •Medallion architecture (Bronze, Silver, Gold) organizes data by quality level from raw to consumption-ready
• •Star schema vs snowflake schema trade performance for data redundancy
• •Domain-specific data marts with named owners enable scalability without exposing warehouse complexity
• •ELT is more efficient than ETL in cloud environments with elastic compute

This summary was automatically generated by AI based on the original article and may not be fully accurate.