What defines hybrid metadata architecture?

What defines hybrid metadata architecture?

• A. It relies solely on centralized systems
• B. It combines centralized and distributed systems
• C. It eliminates the need for IT intervention
• D. It functions without user input

Answer: (B)

Hybrid metadata architecture is defined by its combination of both centralized and distributed systems. This approach enables organizations to leverage the strengths of both configurations while mitigating their respective weaknesses. In a hybrid metadata architecture, centralized systems can be utilized to provide a singular view or a trusted source of metadata, allowing for effective governance, consistency, and control. Meanwhile, distributed systems can offer flexibility, scalability, and localized management suited for diverse data environments. This architecture is particularly beneficial in today’s complex data landscape, as it allows organizations to adapt to varying data needs and workflows while ensuring a coherent metadata management strategy. By integrating both centralized and distributed elements, businesses can optimize access to metadata across different departments or regions, ensuring that various teams can operate effectively while still adhering to overall governance policies. The other options suggest limitations that hybrid metadata architecture specifically aims to overcome. For instance, reliance solely on centralized systems does not provide the flexibility that distributed systems offer, and eliminating the need for IT intervention or functioning without user input does not align with the collaborative and governance-focused nature of metadata management.

Hybrid metadata architecture is defined by its combination of both centralized and distributed systems. This approach enables organizations to leverage the strengths of both configurations while mitigating their respective weaknesses. In a hybrid metadata architecture, centralized systems can be utilized to provide a singular view or a trusted source of metadata, allowing for effective governance, consistency, and control. Meanwhile, distributed systems can offer flexibility, scalability, and localized management suited for diverse data environments.

This architecture is particularly beneficial in today’s complex data landscape, as it allows organizations to adapt to varying data needs and workflows while ensuring a coherent metadata management strategy. By integrating both centralized and distributed elements, businesses can optimize access to metadata across different departments or regions, ensuring that various teams can operate effectively while still adhering to overall governance policies.

The other options suggest limitations that hybrid metadata architecture specifically aims to overcome. For instance, reliance solely on centralized systems does not provide the flexibility that distributed systems offer, and eliminating the need for IT intervention or functioning without user input does not align with the collaborative and governance-focused nature of metadata management.