1.1 History and principles of Data Vault

• Evolution of data warehouses: from Inmon and Kimball to Data Vault.
• Core principles: flexibility, scalability, auditability, and historization.
• When and why to choose Data Vault.

1.2. Data Vault Architecture

• Logical and physical model of Data Vault.
• Comparison with traditional approaches (star and snowflake).
• Roles of components: hubs, links, satellites.