Designing a schema for a customer master database as a comma-separated list isn’t typically recommended, as it doesn’t adhere to good database design principles, including normalization.
A well-structured relational database with separate tables for related information is usually a better choice. However, if you have a specific reason to use a comma-separated format (e.g., for exporting data or other specific use cases), you can design a simple schema like this:
customer_master.csv:
- customer_id (Primary Key)
- first_name
- last_name
- phone_number
- address
- city
- state
- postal_code
- country
- date_of_birth
- registration_date
In this schema, each field is separated by commas within a single row, and each row represents a different customer. However, note that this format is not suitable for complex queries or efficient data retrieval. It’s recommended to use a database management system (e.g., MySQL, PostgreSQL) to create a normalized database schema with separate tables for related information for a more scalable and efficient solution.