Page 217 - Data Architecture

Chapter 6.1: Introduction to Data Vault 2.0
• Manages risk, governance, and • Backed by set logic and massively parallel
versioning processing (MPP) math

• Defines automation and • Includes seamless integration of NoSQL data sets
generation
• Enables 100% parallel heterogeneous loading
• Designs repeatable optimized environments
processes
• Limits impacts of changes to localized areas
• Combines best practices for BI

Data Vault 2.0 architecture benefits:
Data Vault 2.0 methodology benefits:
• Enhances decoupling
• Enhances automation
• Ensures low impact changes
• Ensures scalability
• Provides managed self-service
BI • Provides consistency

• Includes seamless NoSQL • Includes fault tolerance
platforms
• Provides proved standards

• Enables team agility

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