Data Vault
(ดาต้าวอลท์)
Definition
Data Vault (ดาต้าวอลท์) Hard Skill
Data Vault is a methodology for designing, building, and managing enterprise data warehouses that emphasizes scalability, auditability, and adaptability through a hub-and-spoke architecture.
Expertise Level
Level 1
Basic
1. Understands the core concepts of Data Vault methodology.
2. Can identify hubs, links, and satellites in simple data models.
3. Recognizes the importance of auditability and historization in data warehousing.
Level 2
Intermediate
1. Can design and implement Data Vault models for moderate complexity business scenarios.
2. Applies best practices for loading and managing data within Data Vault architecture.
3. Understands how to maintain data integrity and scalability in evolving data environments.
Level 3
Advanced
1. Leads complex Data Vault implementations integrating multiple data sources.
2. Optimizes Data Vault architecture for performance and future adaptability.
3. Develops automated processes for data loading, auditing, and versioning in large-scale enterprise environments.
