Advanced Flashcards
Q: What is the purpose of a “Vault on Vault” approach in Data Vault 2.0?
A: The “Vault on Vault” approach allows organizations to create a secondary Data Vault that feeds off the primary Data Vault for specialized reporting or analytical needs, enhancing modularity and separation of concerns.
Q: Explain “Anchoring” and its relevance in Data Vault 2.0.
A: Anchoring is the practice of linking various data sources to a common central repository in a uniform manner, which helps in unifying data across multiple systems for easier retrieval and analysis.
Q: What is the significance of “Bi-temporality” in Data Vault 2.0?
A: Bi-temporality allows tracking of both the effective date and the record’s validity date, supporting scenarios where data may differ from when it was loaded to when it was true (e.g., regulatory changes).
Q: What is the role of “Data Vault Automation” tools?
A: Data Vault Automation tools streamline the creation of Hubs, Links, and Satellites, manage ETL processes, and generate metadata, significantly reducing manual coding and improving consistency.
Q: How are “Hub Variants” utilized in Data Vault 2.0?
A: Hub Variants allow for capturing different representations or variations of the same business key, enabling organizations to handle complex scenarios where the context of keys may change over time.
Q: Discuss the use of “Bridge Tables” in Data Vault.
A: Bridge Tables are a type of Link that connects Hubs while enabling complex many-to-many relationships and facilitating reporting on aggregated views, often used in scenarios requiring historical insights.
Q: What are “Contextual Satellites,” and how do they differ from standard Satellites?
A: Contextual Satellites store additional business context or attributes relevant to specific analytical needs and can be managed separately to provide flexibility in reporting without impacting core model structure.
Q: Explain the concept of “Rings” in Data Vault architecture.
A: Rings are a metaphorical structure representing the physical storage architecture and can be used to optimize data access patterns, promoting efficient processing of data in the Data Vault.
Q: What is the importance of “Auditability” in Data Vault 2.0?
A: Auditability ensures that every action within the Data Vault is tracked and recoverable, providing transparency, regulatory compliance, and the ability to troubleshoot data quality issues over time.
Q: How can “Data Governance” be integrated into a Data Vault framework?
A: Data Governance can be integrated into a Data Vault framework through policies for data quality, lineage tracking, role-based access controls, and regular data audits to ensure compliance and integrity of the data warehouse.
