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Data Architecture: A Primer for the Data Scientist by Dan Linstedt, W.H. Inmon

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4.5

Introduction to Data Vault Implementation

Abstract

The data vault system of business intelligence (BI) provides implementation guidelines, rules, and recommendations as standards. As noted in previous sections of this chapter, well-defined standards and patterns are the key to success of agile, Capability Maturity Model Integration (CMMI), Six Sigma, and total quality management (TQM) principles. Some of the objectives of managing implementation through working practices include meeting the needs of TQM, embracing master data, and assisting in alignment across business, source systems, and the enterprise data warehouse. Patterns make life easier. In the enterprise BI world, patterns enable automation and generation, while reducing errors ...

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