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The data modeling process. The figure illustrates the way data models are developed and used today . A conceptual data model is developed based on the data requirements for the application that is being developed, perhaps in the context of an activity model.
Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.
NORMA Object-Role modeling Conceptual (ORM), Logical, Physical ORM, Relational(Crow’s foot option), Barker Yes Yes Update database and/or update model No Open ModelSphere: Conceptual, Logical, physical IDEF1X, IE (Crow’s foot), and more Yes Yes Update database and/or update model No Oracle SQL Developer Data Modeler Logical, physical
Entity–relationship modeling is a database modeling method, used to produce a type of conceptual schema or semantic data model of a system, often a relational database, and its requirements in a top-down fashion. Diagrams created by this process are called entity-relationship diagrams, ER diagrams, or ERDs.
This is a high-level model with insufficient detail to build a complete, functional database. [3] It describes the structure of the whole database for a group of users. The conceptual model is also known as the data model that can be used to describe the conceptual schema when a database system is implemented.
Conceptual data model, a high-level specification of how information is organized in the mind and in enterprise processes, without regard to the restrictions of GIS and other computer systems. It is common to develop and represent a conceptual model visually using tools such as an entity-relationship model.
ER/Studio has a computer-aided software engineering tool (or CASE tool). [2] Users can utilize ER/Studio as a way to take conceptual data model and create a logical data model that is not dependent on a specific database technology. [3] This schematic model can be used to create the physical data model.
A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic data model is an abstraction that defines how the stored symbols (the instance data) relate to the real world. [1]