What is meant by logical data model?
A logical data model is a model that is not specific to a database that describes things about which an organization wants to collect data, and the relationships among these things.
What are the benefits of logical data Modelling?
Benefits of logical data modeling
- Help organizations identify areas for business process improvement.
- Design well-informed applications.
- Reduce costs and increase efficiency.
- Provide a basis for future models.
What is logical data representation example?
Conceptual Data Model vs Logical Data Modeling :
| Conceptual Data Model | Logical Data Model |
|---|---|
| Conceptual data model uses the non-technical names so that the higher management people can understand the design | Logical data modeling uses the business names for entities and attributes. |
How do you create a logical model?
Steps
- Step 1: Identify the Problem.
- Step 2: Determine the Key Program Inputs.
- Step 3: Determine Key Program Outputs.
- Step 4: Identify Program Outcomes.
- Step 5: Create a Logic Model Outline.
- Step 6: Identify External Influencing Factors.
- Step 7: Identify Program Indicators.
How to implement a logical data model?
– The Grain. The DW establishes the granularity of the data. – Atomic. Any query that can be asked should be capable of being satisfied by this model. – Non-redundant. A logical model should be normalized (to at least third normal form). – Independent of technology and organization. – External data.
What is the difference between logical and physical data model?
A physical data model describes the physical structure of the database.
What are the different types of data modelling?
Conceptual modelling.
What is a logical data model (LDM)?
What Does Logical Data Model (LDM) Mean? A logical data model (LDM) provides a detailed overview of the entire set of data created and maintained by an organization. It is a diagrammatic presentation of the organization’s data and its representation is independent from the underlying database technology.