Which of the following is NOT considered a deliverable in data modeling?

Which of the following is NOT considered a deliverable in data modeling?

• A. Definitions of entities
• B. Diagram of requirements
• C. Data storage procedures
• D. Issues and outstanding questions

Answer: (C)

Data modeling focuses on the abstract representation of data structures and their relationships within a system. Deliverables in this context typically include documentation and artifacts that help stakeholders understand how data should be organized, the entities involved, and the relationships between them. Definitions of entities such as what constitutes a customer or an order are crucial deliverables in data modeling because they provide clarity on what data will be captured and how it relates to other data points. A diagram of requirements visually represents the relationships and constraints of the data, which is essential for communicating complex information and ensuring that all stakeholders are aligned on the data structure. Issues and outstanding questions are also significant in the data modeling process, as they allow the team to keep track of unresolved topics that could impact the model's effectiveness and inform decisions related to data design. In contrast, data storage procedures fall outside the scope of data modeling deliverables. While data modeling is concerned with defining the data structure and relationships, storage procedures are related to how data is physically stored, retrieved, and managed within databases or data management systems. This typically belongs to the realm of database management and implementation rather than the conceptual phase of data modeling, making it the correct choice as the item that is NOT considered a deliverable in data modeling.

Data modeling focuses on the abstract representation of data structures and their relationships within a system. Deliverables in this context typically include documentation and artifacts that help stakeholders understand how data should be organized, the entities involved, and the relationships between them.

Definitions of entities such as what constitutes a customer or an order are crucial deliverables in data modeling because they provide clarity on what data will be captured and how it relates to other data points.

A diagram of requirements visually represents the relationships and constraints of the data, which is essential for communicating complex information and ensuring that all stakeholders are aligned on the data structure.

Issues and outstanding questions are also significant in the data modeling process, as they allow the team to keep track of unresolved topics that could impact the model's effectiveness and inform decisions related to data design.

In contrast, data storage procedures fall outside the scope of data modeling deliverables. While data modeling is concerned with defining the data structure and relationships, storage procedures are related to how data is physically stored, retrieved, and managed within databases or data management systems. This typically belongs to the realm of database management and implementation rather than the conceptual phase of data modeling, making it the correct choice as the item that is NOT considered a deliverable in data modeling.