Page 220 - Data Architecture

Chapter 6.2: Introduction to Data Vault Modeling
Chapter 6.2

Introduction to Data Vault Modeling

Abstract

One of the most important components of the end-state architecture is that of the data
vault. The data vault exists to satisfy the need for rock-solid data integrity. Like all other
components of the end-state architecture, the data vault has gone through its own
evolution. And like all components of the end-state architecture, data vault will continue

to evolve.

Keywords

Business context; Source system restructuring; Data vault model; Dimensional modelling;

Data warehouse; Lean initiative; Satellite; Relationship table; Precaching; Hash keys;
Business keys

What Is a Data Vault Model Concept?

From a conceptual level, the data vault model (DVM) is a hub-and-spoke-based model,
designed to focus its integration patterns around business keys. These business keys are

the keys to the information stored across multiple systems (hopefully the master keys),
utilized to locate and uniquely identify records or data. At a conceptual level, these
business keys are stand-alone, meaning they don’t rely on other information to exist.

The concepts are derived from business context (or business ontologies), elements that
make sense to the business from a master data perspective like customer, product, and
service. These concepts are business drivers at the lowest level of grain. The DVM is built
to house data at the level of granularity of the source systems.

The DVM should never be simply designed as a “source system restructuring.” If there is
no integration by business keys, then there is no point in building a DVM. Business keys
need to reflect the concepts as they are defined within the business taxonomy. These
taxonomy hierarchies define the context where the business keys live, along with their
granularity.

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