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Physical data models are crucial for the physical implementation of database structures. They determine how data is stored, organized, and retrieved. Such models account for technical constraints and optimizations for performance.
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A physical data model describes how data is stored, indexed, and connected in a specific database system.
The approach grew as logical data models had to be implemented in relational database technology. Database design practice and standards such as ISO/IEC 11179 sharpened the distinction between business meaning and concrete representation.
The logical model is the blueprint; the physical model chooses materials and construction: tables, columns, types, keys, indexes, and partitions for a particular system.
A storage structure for related records.
An auxiliary structure that speeds access.
A rule that protects valid data relationships.
The physical model enables predictable performance and integrity. It couples the design to a database system and must evolve with load, volume, and change.
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