What does a Data Vault primarily consist of?

What does a Data Vault primarily consist of?

• A. A set of unstructured data tables
• B. Normalized tables that support functional business areas
• C. A series of graphical data representations
• D. A collection of isolated data marts

Answer: (B)

A Data Vault primarily consists of normalized tables that support functional business areas. The Data Vault methodology is designed to provide an agile and scalable approach to data warehousing, focusing on the business context of the data. It emphasizes the separation of raw data from business logic, ensuring that it can be easily integrated and accessed. In a Data Vault model, entities are organized into three core components: hubs, links, and satellites. Hubs represent unique business concepts (such as customers or products), links capture the relationships between these concepts, and satellites contain descriptive attributes and historical data. This structure supports traceability and adaptability to changing business requirements, making it easier for organizations to manage and understand their data over time. The other options do not correctly reflect the nature of a Data Vault. For instance, the idea of unstructured data tables is contrary to the structured nature of a Data Vault. Graphical data representations do not capture the fundamental principles of the Data Vault approach, which is rooted in storage and organization of data. Lastly, isolated data marts do not embody the integration and business-centered focus that Data Vault promotes, which is about creating a comprehensive view of data across various domains rather than segmenting it into silos.

A Data Vault primarily consists of normalized tables that support functional business areas. The Data Vault methodology is designed to provide an agile and scalable approach to data warehousing, focusing on the business context of the data. It emphasizes the separation of raw data from business logic, ensuring that it can be easily integrated and accessed.

In a Data Vault model, entities are organized into three core components: hubs, links, and satellites. Hubs represent unique business concepts (such as customers or products), links capture the relationships between these concepts, and satellites contain descriptive attributes and historical data. This structure supports traceability and adaptability to changing business requirements, making it easier for organizations to manage and understand their data over time.

The other options do not correctly reflect the nature of a Data Vault. For instance, the idea of unstructured data tables is contrary to the structured nature of a Data Vault. Graphical data representations do not capture the fundamental principles of the Data Vault approach, which is rooted in storage and organization of data. Lastly, isolated data marts do not embody the integration and business-centered focus that Data Vault promotes, which is about creating a comprehensive view of data across various domains rather than segmenting it into silos.