Master Schema Database Design: Best Practices for Data Engineers

A guide covering database schema design best practices for data engineers, including normalization (targeting 3NF), consistent naming conventions, documentation, version control, and performance monitoring. Also addresses data integrity strategies such as schema validation, automated quality checks, governance policies, and audit trails. Touches on leveraging AI-driven tools, real-time analytics, cloud-based storage, and data modeling software to improve schema efficiency. Decube's platform is referenced as a tool for automated metadata management and observability.