Introduction to Data Vault Methodology
Abstract
The Data Vault 2.0 standard provides a best practice for project execution that is called “Data Vault 2.0 Methodology.” It is derived from core software engineering standards and adapts them for use in data warehousing. The methodology for data vault projects is based on best practices pulled from disciplined agile delivery (DAD), automation and optimization principles (Capability Maturity Model Integration [CMMI], key process areas [KPAs], and key-performance indicators [KPIs]), Six Sigma error tracking and reduction principles, lean enterprise initiatives, and cycle-time reduction principles. In addition, data vault methodology takes into account a notion known as “managed self-service ...
Get Data Architecture: A Primer for the Data Scientist now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
