Roles in data management: Are data modeling and database design key responsibilities of data administration and database administration?

Difficulty: Easy

Correct Answer: Correct

Explanation:


Introduction / Context:
Modern organizations separate concerns between data administration (DA) and database administration (DBA). While titles vary, both roles contribute significantly to data modeling and database design, which shape how data is structured, governed, and optimized for use.



Given Data / Assumptions:

  • Data administration focuses on enterprise data policies, modeling standards, and stewardship.
  • Database administration focuses on physical design, performance, availability, and security.
  • Effective schemas reflect both business semantics and platform constraints.



Concept / Approach:
Conceptual and logical data modeling typically arise from DA working with business stakeholders to define entities, relationships, and rules. Physical database design is commonly the DBA’s responsibility, translating models into indexes, partitions, access paths, and storage parameters. The two areas overlap: DBAs advise on feasibility; DAs adjust models to practical constraints.



Step-by-Step Solution:
Elicit business requirements and craft a conceptual model (DA-led).Refine to logical models with keys, constraints, and normalization.Implement physical structures: tablespaces, indexes, partitioning (DBA-led).Validate performance using representative workloads.Govern changes through versioned models and review boards.



Verification / Alternative check:
Trace a change—say, adding a new dimension attribute—from business request to deployed table and index. Both DA and DBA are involved, confirming shared responsibility.



Why Other Options Are Wrong:
Incorrect: contradicts common practice in data management.Only vendors or only app developers: external or application viewpoints alone rarely yield robust enterprise designs.



Common Pitfalls:
Poor handoff between logical and physical design, neglecting indexing strategy, and failing to align schemas with governance and quality standards.



Final Answer:
Correct

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