Objectives: Understand And Perform The Techniques For Entity
Objectivesunderstand Andperform The Techniques For Entity Discoverys
Objectives: Understand and perform the techniques for entity discovery (see Pine Valley Furniture case on page 292/282 for an example). Note the Process Modeling Requirements from next milestone Chapter 7: Milestone 6 Define each entity with respect to the business and complete an entity_definition_matrix.doc (see table 8-3 for an example) Perform the necessary data modeling techniques to organize and document the data requirements for the proposed system. Use Petrie Electronic Structuring System Requirements to develop Conceptual Data Modeling for Petrie Electronic Database (pages ) to construct the Context, Key-Based, and Fully Attributed data models (see CompleteDatamodelforSoundStageProject.pdf for an example). Define all your entities, attributes, and relationships in the VA repository . Hints: You need to define each entity with all its attributes and at least one primary key. Then you need to define the relationships. The foreign keys can only be defined after all primary keys for the entities involve in a relation are defined first. You need to create your data model in the same project that you will have your remaining models . All your process models, data models, objects models need to be in the same project. You need to turn in your context, key-based, and fully attributed data models. Also, you need to define all entities, attributes, and relationships in the VA repository and turn in a report from the repository that shows they are all completely defined. That means you will need to submit three diagrams for your data models along with the repository definitions for all your entities, attributes, and relationships. To include the diagram in the word file, you need to go to the EDIT, and Select all, Copy and save the diagram as a .jpg file and then include the image file in your Word file.
Paper For Above instruction
The process of entity discovery and data modeling is foundational to designing an effective information system. It involves systematically identifying, defining, and organizing the entities pivotal to a business’s operations, along with their attributes and relationships. Proper execution of these techniques ensures the development of a cohesive and accurate database schema that reflects real-world business processes and facilitates efficient data management.
The initial step in entity discovery involves analyzing the business context, as exemplified by the Pine Valley Furniture case, to identify key business entities. These entities—such as customers, employees, inventory, and orders—are discovered through interviews, observations, and review of existing documentation. Once identified, each entity must be thoroughly defined with respect to the business requirements, including what data it should contain, its role within the system, and its importance to business operations. Completing the entity-definition matrix according to the format in table 8-3 helps clarify these aspects by systematically cataloging entity attributes, primary keys, and descriptions.
Following entity identification, the next step employs data modeling techniques to organize the data requirements into coherent structures. These modeling techniques include creating conceptual models such as context diagrams, key-based models, and fully attributed data models. Using Petrie Electronic Structuring System Requirements serves as a guide to develop these models. The context model provides an overarching view of systems' boundaries and interactions. The key-based model emphasizes primary keys and relationships, while the fully attributed model details all attributes and data elements associated with each entity. This layered approach ensures clarity and completeness in data organization and supports subsequent database implementation.
All entities, attributes, and relationships must be defined within the VA repository. Each entity requires a unique primary key and all relevant attributes to fully describe the entity. Relationships between entities are established through foreign keys, which are defined only after the primary keys of involved entities are confirmed. This disciplined approach avoids relational inconsistencies and ensures referential integrity. The models—context, key-based, and fully attributed—must be integrated into the same project environment, along with process and object models, to facilitate comprehensive system development.
Proper documentation is crucial; therefore, the models and definitions should be thoroughly recorded in the VA repository. A report must be generated from the repository, demonstrating complete and accurate definitions of all entities, attributes, and relationships. Visual representations of these models are required—specifically, three diagrams corresponding to the different modeling levels. These diagrams should be exported as JPEG images, embedded into a Word document for submission, along with the repository definitions. This structured documentation process enhances understanding, supports validation, and forms the basis for subsequent phases of database design.
In summary, mastering entity discovery and data modeling techniques involves systematic analysis, detailed documentation, and disciplined development of models within a unified project environment. This foundational work lays the groundwork for creating robust databases that effectively support business needs, ensuring data integrity, accessibility, and ease of maintenance.
References
- Connolly, T., & Begg, C. (2015). Database Systems (6th ed.). Pearson Education.