Data modeling in a Database Management System (DBMS) is a critical process that involves designing the structure of a database to ensure efficient data storage, retrieval, and management. Here are some relevant tags for **data modeling in DBMS**: <br /><br />1. **Conceptual Data Model** <br />2. **Logical Data Model** <br />3. **Physical Data Model** <br />4. **Entity-Relationship Diagram (ERD)** <br />5. **Normalization** <br />6. **Denormalization** <br />7. **Relational Model** <br />8. **Schema Design** <br />9. **Data Integrity** <br />10. **Primary Key** <br />11. **Foreign Key** <br />12. **Relationships (One-to-One, One-to-Many, Many-to-Many)** <br />13. **Attributes and Entities** <br />14. **Data Constraints** <br />15. **Indexing** <br />16. **Data Dictionary** <br />17. **Dimensional Modeling** <br />18. **Star Schema** <br />19. **Snowflake Schema** <br />20. **Data Warehousing** <br />21. **Database Design Patterns** <br />22. **Data Abstraction** <br />23. **Data Governance** <br />24. **Data Quality** <br />25. **Metadata Management** <br />
