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Building a Scalable Data Warehouse with Data Vault 2.0 by Michael Olschimke, Dan Linstedt

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Chapter 3

The Data Vault 2.0 Methodology

Abstract

The Data Vault 2.0 Methodology introduces unique concepts to the development of data warehouses and is based on several agile data warehouse methodologies and techniques, including CMMI, Six Sigma, TQM, SDLC, and Function Point Analysis. This chapter introduces the basics of these standards and explains how the Data Vault 2.0 methodology brings them together. This chapter focuses on the project practices of the Data Vault 2.0 methodology.

Keywords

data
CMMI
Six Sigma
TQM
SDLC
Function Point Analysis
methodology
The Data Vault 2.0 standard provides a best practice for project execution, which is called the “Data Vault 2.0 methodology.” It is derived from core software engineering standards and adapts ...

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