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  1. 24 Σεπ 2024 · The main stages of database design include: Requirement analysis: Understanding the needs of users and the purpose of the database. Conceptual design: Developing an abstract model, usually represented by an ER (Entity-Relationship) diagram. Logical design: Converting the ER model into a structured format, typically in relational schema.

  2. 18 Σεπ 2023 · Logical database design bridges the gap between the conceptual and physical levels. Here, designers translate the conceptual model into a more detailed representation, focusing on data structures, relationships, and constraints.

  3. The goal of the logical design is to create a high-level representation of the data that is independent of any specific database management system or implementation. The logical design is typically created using entity-relationship (ER) modeling or a similar approach.

  4. 9 Νοε 2016 · Logical database design is the process of transforming (or mapping) a conceptual schema of the application domain into a schema for the data model underlying a particular DBMS, such as the ...

  5. 10 Φεβ 2024 · In the realm of database management systems (DBMS), logical database design serves as the foundation for creating efficient and organized databases. This process involves translating...

  6. Logical Database Design refers to the process of structuring databases to handle varying properties of entities at different rates, including the concept of "until further notice" where a property retains its value until an unknown future time.

  7. 9 Φεβ 2021 · A logical data model is probably the most-used data model. It goes beyond the conceptual model; it includes entities, relationships, details on entities’ different attributes, and unique ways to identify entities (primary keys) and establish the relationships between them (foreign keys).