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Part A – Database Design
Case Study
This coursework should be carried out on a relevant case study. Be realistic with your case study by choosing a small to medium organisation – for example, large multi-national companies will be much too complicated. Some examples of suitable organisations are:
A Bank (Individual Branch)
A Local Retail shop
A Library
A Doctor’s Surgery
Your Tasks
A1. Case Study Description.
Write a detailed description of your chosen organisation, concentrating on the data requirement. Your description should state any assumptions that you make about the business rules of your organization.
A2. Entity-relationship model mapped to a relational database
Start by producing an Entity-Relationship (ER) Model using UML notation for your chosen case study. Then convert the ER model to a Relational Model by specifying the Primary (PK) and Foreign Keys (FK), mapping any one-to-one relationships into relations, and decomposing any many-to-many relationships.
This is the Entity-Relationship diagram and the Relational diagram, which you should submit.
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A3. Validate the Model
Checking for Connection Traps
Examine your model and identify one potential trap (fan trap or chasm trap) – if present. Consider whether this may cause a problem to your model and re-draw if necessary, arguing your case either way.
If you cannot identify a trap in your diagram, you need to clearly explain one type of trap and discuss how it could be resolved.
Supporting the Functional Requirements
Validate the model by showing that it can support one of the functional requirements identified in A1.
Indicate the access path clearly on a copy of your ERD (or a subset of it) and explain your diagram.
A4. Limitations of the Relational Model.
Discuss the limitations of the Relational Model.
Discuss the NoSQL model including how this model could overcome some of the limitations of the relational model.
A5. Professional, Legal and Ethical Issues
Discuss the professional, legal and ethical issues that should be considered when designing and managing a database.
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