Data Warehouse Architecture: A Deep Dive from Classic to Cloud-Native

This comprehensive guide explores data warehouse architecture, from classic three-tier models to modern cloud-native designs. It covers key layers like data integration, storage, and access, detailing the pros and cons of various architectures (hybrid, single-tier, two-tier, three-tier, star schema, snowflake schema, etc.) and their use cases. Emerging trends like lakehouse, data mesh, and real-time pipelines are also discussed, along with how to choose the right architecture, schema, and tools to optimize performance and cost. Real-world examples from Helsana and WashTec showcase how companies modernized their data infrastructure for improved efficiency and insights.