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Logical Data Model

Last updated by Simon Späti

Creating a logical data model to represent the business requirements and a conceptual model to provide a high-level view of the data. The bottom-up approach is beneficial when dealing with legacy systems or when there needs to be more knowledge of the organization’s data requirements.

“Logical Layer == Semantic Layer?”

As a Semantic Layer is essentially a logical business layer, it must be considered using one during the model part. More on this in  Part 3.

The logical data model is usally an abstraction on top of the Physical Data Model, which contains the actual tables and columns of the database.


The Conceptual, Logical, and Physical Data Modeling Flow from Data Modeling – The Unsung Hero of Data Engineering: Modeling Approaches and Techniques.


Origin: Data Modeling
References:
Created 2023-12-06