Examples of using Logical data model in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Such a design can be detailed into a logical data model.
Provides a logical data model with elements and business rules needed for the creation of DQ rules.
Create and develop database design and logical data models.
Logical Data Modeling: This is the process of identifying,modeling and documenting the data requirements of the system being designed.
Implementation of one conceptual data model may require multiple logical data models.
In the lifecycle of a project, it typically derives from a logical data model, though it may be reverse-engineered from a given database implementation.
A conceptual ER model may be used as the foundation for one or more logical data models.
Top-down logical data models, on the other hand, are created in an abstract way by getting information from people who know the subject area.
A conceptual ER model may be used as the foundation for one ormore logical data models(see below).
The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases.
Logical/system model: Defines how data entities are linked and provides a logical data model.
Post this, the conceptual model is converted into a logical data model that documents the structure of data, which is then implemented into databases.
Physical considerations may cause the physicaldata model to be quite different from the logical data model.
Unfortunately, in many environments the distinction between a logical data model and a physical data model is blurred.
Physical considerations may cause the physicaldata model to be quite different from the logical data model.
In the development of a project, physical data model typically inherits from a logical data model though it can be reverse-engineered from a certain database implementation.
Since a conceptual and logical data model provides a high-level view of business objects within a system, the entities in such ERDs are aligned with data objects in BPD.
In a data warehousing project,sometimes the conceptual data model and the logical data model are considered as a single deliverable[9].
The last step transforms the logical data model into a physical data model that organizes the data into tables, plus accounts for access, performance, and storage details.
In the case of the design of an information system that is based on a database, the conceptual data model is, at a later stage(usually called logical design),mapped to a logical data model, such as the relational model; .
The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, accounts for access and storage details.
Database design: ER diagrams are used to model and design relational databases,in terms of logic and business rules(in a logical data model) and in terms of the specific technology to be implemented(in a physical data model.). .
Having the ability to design and create databases, develop logical data models, create data services by using Transact-SQL, manage and maintain databases, configure and manage database security, monitor and optimize databases, install and configure Microsoft SQL Server.
In the case of the design of an information system that is based on a database, the conceptual data model is, at a later stage(usually called logical design),mapped to a logical data model, such as the relational model; this in turn is mapped to a physical model during physical design.
When we design a database for a relational system,the main objective in developing a logical data model is to create an accurate representation of the data, its relationships and constraints.
Development D.B.A.- focuses on the logical and development related aspects like data model design, etc.