What parameters and principles do you consider when designing the structure of tables in a database?

When designing the structure of database tables, the following parameters and principles are important:

• Data normalization — dividing data into logically related tables to eliminate redundancy and update anomalies.
• Data types — choosing appropriate types for columns to optimize storage and ensure integrity.
• Primary keys — unique identifiers for records to ensure unambiguous identification.
• Foreign keys and relationships — to maintain referential integrity between tables.
• Indexes — to speed up searches and queries, considering their impact on insert and update speeds.
• Performance — balancing normalization and denormalization depending on usage scenarios.
• Security and access rights — defining who can see and modify which data.
• Scalability — the ability to expand the structure as data grows.
• Schema documentation — for ease of maintenance and development.

Example: if you have a "Users" table and an "Orders" table,

• The "Users" table will have a primary key UserId.
• The "Orders" table will have a foreign key UserId referencing "Users".

This ensures data integrity and query convenience.