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Good database design requires a thoughtful approach to ensure efficiency, scalability, and data integrity. Key principles include:

1. Clear Requirements and Objectives: Understand the business needs and data relationships to design a database structure that aligns with functional requirements.

2. Normalization and Data Organization: Apply normalization techniques to reduce redundancy and avoid data anomalies. Properly structured tables ensure data consistency and optimal storage usage.

3. Efficient Indexing: Create appropriate indexes to speed up data retrieval without over-indexing, which can slow down write operations.

4. Scalability and Performance: Design the database with growth in mind. Consider factors like partitioning, caching, and optimized query structures to handle increased data loads.

5. Data Integrity and Constraints: Enforce primary keys, foreign keys, and constraints to maintain relationships between tables and ensure that the data adheres to business rules.

6. Security: Implement robust security measures, including user authentication, role-based access control, and encryption, to protect sensitive data.

7. Backup and Recovery Plan: Design for data protection by incorporating strategies for regular backups and disaster recovery to prevent data loss.

By adhering to these principles, a database will be well-structured, maintainable, and capable of supporting the business's long-term needs.

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