Data Vault
Posted: Sun Mar 02, 2025 5:37 pm
Data Vault
Data vault is a data modeling technique that stores data from multiple sources over time. It's used to build data warehouses for analytics.
How it works
Data vault modeling was developed by Dan Linstedt in the early 2000s. It addresses many of the challenges associated with traditional data warehousing methods.
Data vault is a data modeling technique that stores data from multiple sources over time. It's used to build data warehouses for analytics.
How it works
- Integration
Data vault integrates data from multiple sources without being restricted by rigid structures or predefined business rules
- Data structures
Data vault combines 3rd normal form and star schema to handle complex data structures - Entities
Data vault has three types of entities: hubs, links, and satellites - Data capture
Data vault captures data in its most granular form to preserve detail and context
- Scalability: Data vault is a scalable solution for managing large volumes of data
- Flexibility: Data vault is agile and can adapt to changes in data environments
- Data quality: Data vault enhances data quality and usability
- Data governance: Data vault facilitates better data governance and compliance
Data vault modeling was developed by Dan Linstedt in the early 2000s. It addresses many of the challenges associated with traditional data warehousing methods.