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A good data model is characterized by its ability to effectively represent the real-world data and relationships in a clear and structured manner. It should be well-documented, easily understandable, and scalable to accommodate future changes or expansions. A good data model also considers performance optimization, data integrity, and the specific requirements of the business or project it serves. By following best practices, such as normalization, denormalization, and proper indexing, data models can efficiently store and retrieve data.
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