database structure

🏗 1. Hierarchical Structure
Looks like a tree 🌳 — with a root and branches.
Data is stored in a parent–child relationship.
One parent can have many children, but each child has only one parent.
✅ Example:
A company database —
CEO → Manager → Employees
Each manager belongs to one CEO, but can have many employees.
🔗 2. Network Structure
Similar to the hierarchical model, but more flexible.
A record can have many parents and many children (many-to-many relationships).
✅ Example:
A student can enroll in many courses, and each course can have many students.
📋 3. Relational Structure
The most common type (used in MySQL, Oracle, SQL Server, etc.).
Data is stored in tables (rows and columns).
Tables can be linked using keys (like student ID).
✅ Example:
A Student Table and a Course Table can be connected using Student_ID.
📊 4. Multidimensional Structure
Used mostly in data warehouses for analysis and reporting.
Data is stored in cubes that allow viewing from different angles (dimensions). ✅ Example:
Sales data can be viewed by Time, Product, and Region — like slicing a cube to see data in different ways.
🧱 5. Object-Oriented Structure
Stores data as objects, just like in object-oriented programming (OOP).
Each object has data (attributes) and actions (methods). ✅ Example:
A “Car” object can have:
Data: color, model, price
Actions: start(), stop()
This type is great for complex data (like multimedia, graphics, etc.).