Differences Between Conceptual and Logical Data Models
Conceptual data models depict entities and their relationships without attributes, while logical data models extend this by detailing attributes, primary keys, and foreign keys, providing a more granular view that serves as a bridge toward physical data modeling.
The main difference between a conceptual data model and a logical data model is that the conceptual model represents entities and their relationships, while the logical model provides additional details such as attributes, primary keys, and foreign keys.
Data modeling is the process of creating a model that can be used to store data; it visualizes data objects and their associations, helping to gain business insights. Two common types of data models are conceptual and logical.
Covered Key Areas
What is a conceptual data model – definition and function
What is a logical data model – definition and function
Differences between conceptual and logical data models – key terms: conceptual data model, data modeling, logical data model
Key Terms
Conceptual data model, data modeling, logical data model
What is a Conceptual Data Model
A conceptual data model represents entities and relationships. Entities are real‑world objects, and relationships are the associations or dependencies between two entities. The model captures the most important entities and their relationships without specifying attributes or primary keys.
What is a Logical Data Model
A logical data model describes data in more detail than a conceptual model but is not used to build an actual database. It includes all entities, relationships, and attributes, as well as primary keys and foreign keys, and typically applies normalization up to the third normal form (3NF).
Beyond conceptual and logical models, a physical data model adds implementation details such as table names, column names, and data types, facilitating the creation of a real database.
Differences Between Conceptual and Logical Data Models
Definition
A conceptual data model helps identify high‑level relationships between entities, whereas a logical data model describes data in as much detail as possible without considering physical implementation.
Composition
The conceptual model consists of entities and the relationships among them; the logical model adds entities, attributes, relationships, primary keys, and foreign keys.
Attributes
The conceptual model does not represent attributes, while the logical model does.
Primary/Foreign Keys
The conceptual model does not specify primary or foreign keys, whereas the logical model does.
Usage
The conceptual model serves as the foundation for developing a logical data model, which in turn underpins the creation of a physical data model.
Complexity
The conceptual model is simpler than the logical model.
Conclusion
In short, data modeling identifies the data that must be stored in a database and involves three major models, of which conceptual and logical are two. The main distinction is that the conceptual model shows entities and relationships, while the logical model adds details such as attributes, primary keys, and foreign keys.
References
1. “Data Modeling.” Data Modeling – Conceptual, Logical, and Physical Data Models, Available here.
2. “Conceptual Data Model.” 1KeyData, Available here.
3. “Logical Data Model.” 1KeyData, Available here.
Original article: https://pediaa.com/what-is-the-difference-between-conceptual-and-logical-data-model/
Source: http://jiagoushi.pro/node/988
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