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What is the difference between a data model and database schema?

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Data Model vs. Database Schema Data Model: Conceptual Representation: Defines how data is organized, structured, and related to each other. Abstract: Represents the entities, their attributes, and the relationships between them. Independence: Not tied to any specific database management system (DBMS). Types:...
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Data Model vs. Database Schema

Data Model:

  • Conceptual Representation: Defines how data is organized, structured, and related to each other.
  • Abstract: Represents the entities, their attributes, and the relationships between them.
  • Independence: Not tied to any specific database management system (DBMS).
  • Types: Includes various types like relational, hierarchical, network, or object-oriented models.
  • Logical Representation: Represents the logical layout of data and its relationships, often using diagrams like ER (Entity-Relationship) diagrams.

Database Schema:

  • Physical Blueprint: Specific implementation of the data model within a database system.
  • Structure Definition: Describes how data is organized into tables, columns, keys, constraints, and indexes.
  • DBMS Specific: Dependent on the particular DBMS being used, like MySQL, PostgreSQL, etc.
  • Technical Details: Includes details about data types, relationships, constraints, and storage details.
  • Generated from Data Model: Created based on the data model, converting the logical design into actual database tables.

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