A data vault is a data modeling design pattern used to build a data warehouse for enterprise-scale analytics. The data vault has three types of entities: hubs, links, and satellites.

Nov 20, 2025 · Data vault architecture is a modern data modeling approach that stores enterprise data using hubs, links, and satellites to ensure scalable integration, full historical tracking, and auditable …

Datavault or data vault modeling is a database modeling method that is designed to provide long-term historical storage of data coming in from multiple operational systems.

Dec 11, 2023 · Data vault architecture is a modern approach to designing data warehouses that offers flexibility, scalability, and adaptability. Comprised of hubs, links, and satellites, this architecture …

May 23, 2024 · Data Vault is a data modeling methodology that focuses on three key pillars: flexibility, scalability, and resilience. It is designed to handle large volumes of data from a variety of sources...

Jul 30, 2024 · Traditional data warehouse approaches, like star or snowflake schemas, and data vault architecture, are the go-to methods for enterprise data management. They both aim to organize and …

May 5, 2025 · Data vault architecture is a structured, auditable, and scalable data warehouse foundation. Learn more about benefits, key components, and implementation tips.

A data vault is a data modeling approach and methodology used in enterprise data warehousing to handle complex and varying data structures. It combines the strengths of 3rd normal form and star …

Learn what data vault is, how it compares to 3NF and star schema and why it's ideal for modern data warehousing.

Oct 23, 2025 · We’ve covered the essentials of Data Vault modeling, from its scalable architecture and key components to best practices and tools. We’ve shown how Data Vault can streamline data …