AidanLau10 / projectskin

Python Flask backend for old passion project
0 stars 0 forks source link

- Build a data model using UML #5

Open AidanLau10 opened 12 months ago

AidanLau10 commented 12 months ago

Useful tools:

  1. Identify Data Entities: Start by identifying the main data entities or objects that your application will use. For a school project, these entities could include Student, Teacher, Course, Enrollment, Assignment, Grade, etc.
  2. Create Classes: In your UML data model, create a class for each data entity. Each class will represent the structure and attributes of that entity. For example, the Student class might have attributes like StudentID, Name, Email, etc.
  3. Define Relationships: Use UML associations to define relationships between your classes. For instance, you can show that a Student is enrolled in a Course or that a Teacher teaches a Course. You can also specify the cardinality of these relationships (e.g., one-to-many, many-to-many).
  4. Add Multiplicity: Specify multiplicity for associations to indicate how many instances of one class are related to instances of another class. For example, you might specify that a Course can have multiple Students enrolled (one-to-many).
  5. Attributes and Methods: Include attributes and methods in your classes to describe the behavior and properties of the objects. For example, a Student class might have methods for submitting assignments or checking grades.
  6. Use UML Diagrams: Create UML diagrams to visualize your data model. Commonly used diagrams include Class Diagrams for showing the classes and their relationships and Sequence Diagrams for depicting interactions between objects.
  7. Integrate with Backend and Frontend: Your UML data model will serve as a blueprint for designing the database schema in the backend. It will help you determine how data will be stored and retrieved. Additionally, it will guide the development of API endpoints for the frontend to interact with the backend.
  8. Deployment on AWS: Since you mentioned AWS, you'll need to set up your database and backend services on AWS infrastructure. You may use AWS services like Amazon RDS (Relational Database Service) for your database and AWS Lambda or AWS Elastic Beanstalk for your backend application.
AidanLau10 commented 12 months ago

UML Diagram