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A data model is usually graphical.
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2. An implementation-ready data model needn't necessarily contain enforceable rules to guarantee the integrity of the data.
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3. An implementation-ready data model should contain a description of the data structure that will store the end-user data.
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4. Within the database environment, a data model represents data structures with the purpose of supporting a specific problem domain.
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5. Even when a good database blueprint is available, an applications programmer’s view of the data should match that of the manager and the end user.
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6. In the context of data models, an entity is a person, place, thing, or event about which data will be collected and stored.
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7. Database designers determine the data and information that yield the required understanding of the entire business.
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8. Business rules apply to businesses and government groups, but not to other types of organizations such as religious groups or research laboratories.
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9. Business rules must be rendered in writing.
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10. In an SQL-based relational database, each table is dependent on every other table.
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11. In an SQL-based relational database, rows in different tables are related based on common values in common attributes
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12. A disadvantage of the relational database management system (RDBMS) is its inability to hide the complexities of the relational model from the user.
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13. Each row in the relational table is known as an entity instance or entity occurrence in the ER model.
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14. In Chen notation, entities and relationships have to be oriented horizontally; not vertically.
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15. M:N relationships are not appropriate in a relational model.
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16. Today, most relational database products can be classified as object/relational.
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17. The network model has structural level dependence.
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18. The external model is the representation of the database as “seen” by the DBMS.
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19. The hierarchical model is software-independent.
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20. The relational model is hardware-dependent and software-independent.