Itqualityassurance
- What is the difference between data models and conceptual models?
- What is canonical data modeling?
- What are the 4 different types of data models?
- What is the difference between conceptual data model and relational data model?
What is the difference between data models and conceptual models?
The logical data model is an abstract representation of a possible implementation, without being bound to any specific implementation, while the conceptual data model is a high level representation of the business requirements and the connected data sets and relationships.
What is canonical data modeling?
Defining a Canonical Data Model (CDM)
CDMs are a type of data model that aims to present data entities and relationships in the simplest possible form to integrate processes across various systems and databases.
What are the 4 different types of data models?
What are the types of data modeling? The three primary data model types are relational, dimensional, and entity-relationship (E-R). There are also several others that are not in general use, including hierarchical, network, object-oriented, and multi-value.
What is the difference between conceptual data model and relational data model?
The main difference between conceptual and logical data model is that conceptual data model represents entities and their relationships while logical data model provides more details than the conceptual data model including attributes, primary and foreign keys other than the entities and the relationships.
