01 - Data Warehouse Evolution: From SQL Server to Data Lakehouse

Complete guide to Data Warehouse Evolution: From SQL Server to Data Lakehouse: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• The traditional DWH is not dead: it has evolved. Star Schema and dimensional modeling concepts remain foundational.
• The Data Lake solved the storage problem but created the Data Swamp without proper governance.
• The Data Lakehouse with Apache Iceberg combines the best of both: cheap storage, ACID transactions, high performance.
• DuckDB is the ideal entry point for SMBs and analysts: zero cost, exceptional performance, no infrastructure.
• The Medallion Architecture (Bronze/Silver/Gold) organizes the data flow from ingestion to business in a clear, governed manner.

This article is part of the Data & AI Business series on federicocalo.dev.

Read the full article

The complete article (18 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 01 - Data Warehouse Evolution: From SQL Server to Data Lakehouse

https://federicocalo.dev/en/blog/data-warehouse-evolution-sql-server-lakehouse

By Federico Calò — Software Developer & Technical Writer