Data Vault, Inmon and Kimball
Data Vault 2.0 stands on a robust foundation of four pillars, each shaping its distinct architecture. The Methodology pillar guides the project lifecycle, ensuring standardization. Architecture defines the blueprint, prioritizing scalability. Modeling introduces agile techniques, enhancing adaptability. Implementation brings the design to life, addressing practical considerations.
The Inmon approach to building a data warehouse begins with the corporate data model. This model identifies the key subject areas, and most importantly, the key entities the business operates with. From this model, a detailed logical model is created for each major entity.
The Kimball approach to building the data warehouse starts with identifying the key business processes and the key business questions that the data warehouse needs to answer. The key sources (operational systems) of data for the data warehouse are analyzed and documented.
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To support the creation of Visual Data Vault drawings in Microsoft Visio, a stencil is implemented that can be used to draw Data Vault models. The stencil is available at www.visualdatavault.com.
