The Data Vault Handbook - Concepts and Applications

In this chapter • Learn the three-layer Data Vault architecture and how it ensures data integration, historization, and flexible delivery • Discover the purpose of Staging, Raw Data Vault, and Business Vault layers and their role in a scalable data platform • Explore how the Information Delivery layer connects the Data Vault to end-users by enabling analytics and reporting

2. DATA VAULT ARCHITECTURE

The Data Vault architecture is built upon a three-layer data platform structure , each layer purposefully designed to ad- dress specific demands and challenges

encountered in developing an Enterprise Business Intelligence solution. In this section, we will first present a visualization of the Data Vault architec- ture, which will serve as a guide as we explore each layer in detail. An Enterprise Data Platform is a comprehensive framework that centraliz- es, integrates, and manages an organization’s data assets, enabling seamless access, analysis, and utilization of data across the enterprise. It encompasses the tools, technologies, and processes necessary for collecting, storing, pro- cessing, and delivering data to meet business needs. An effective Enterprise Data Platform supports a wide range of data-driven applications, from re- porting and analytics to machine learning and artificial intelligence.