Computer Science – Types and methods of data transmission | e-Consult

The most suitable method for this scenario is a Relational Database. Here's why:

• Advantages:
• Data Integrity: Relational databases enforce data integrity through constraints (e.g., primary keys, foreign keys), ensuring data accuracy and consistency. This is crucial for customer details and order history.
• Efficient Searching: SQL (Structured Query Language) allows for efficient searching and filtering of data. We can easily search for customers by name, address, or email, and retrieve their order history.
• Data Relationships: Relational databases excel at representing relationships between data. We can link customers to their orders using foreign keys, creating a clear and organized structure.
• Scalability: Relational databases can handle a growing amount of data efficiently.
• Data Security: Relational databases offer robust security features to protect sensitive customer information.
• Disadvantages:
• Complexity: Setting up and managing a relational database can be more complex than a flat file.
• Cost: Commercial relational database systems can be expensive.

Why other options are less suitable:

• Flat File: Flat files are simple but lack data integrity and efficient searching. Searching would require reading the entire file, which is inefficient for a large number of customers.
• Hierarchical Database: Hierarchical databases are less flexible than relational databases and are not well-suited for representing complex relationships.
• Object-Oriented Database: While object-oriented databases can store complex data, they are generally more complex to implement and manage than relational databases for this simple scenario.