The Data Vault Handbook - Concepts and Applications

In this case, the Enterprise Data Platform will be composed of three layers: the Staging Area, where raw data is ingested and prepared; the Enterprise Data Warehouse, where data is integrated, standardized, and stored; and the Information Delivery Layer, where data is presented and made accessible to users for decision-making and other business processes. Furthermore, a Metadata Management layer spans across the Enterprise Data Platform in order to facilitate data discovery and automation, improve data governance, and enable efficient management of the data lifecycle across various stages of the platform, from ingestion to delivery. One of the key features of this architecture is its ability to distinctly address the demands of both data integration and information delivery. By struc- turing the Enterprise Data Platform into the three layers, it allows for the separation of concerns—ensuring that the complexities of data integration, storage, and historical tracking are managed independently from the pro- cesses involved in delivering actionable insights to end users. This separa-

tion enhances the system’s flexibility, scalability, and maintainability, en- abling each layer to evolve and opti- mize according to its specific require- ments without disrupting the overall data flow. Additionally, Data Vault can be adapt- ed to a domain-driven enterprise ar- chitecture (Section 2.4) and can incor- porate real-time capabilities using an Enterprise Service Bus (ESB); howev- er, the discussion of real-time capa- bilities falls outside the scope of this guide.

“ One of the key features of this

architecture is its ability to distinctly address the demands of both data integration and information delivery.”