A structured method for representing and describing the data used in a business function automated system. Data modeling is used in combination with two other structured methods, data flow analysis and functional decomposition, to define the high-level structure of business and information systems. Its primary function is to define the attributes of and relationships among data items.
The process of building a data model to describe the mapping between a relational database schema and an object model.
n. A structured set of techniques for defining and recording business information requirements. It is a depiction of the user's view of the data needs of the organization in a consistent and rigorous fashion. The data model eventually serves as the basis for translation to computer system databases.
A method used to define and analyze data requirements needed to support an organization's business processes. Data modeling defines the relationships between data elements and structures. The data requirements are recorded as a conceptual data model with associated data definitions. Actual implementation of the conceptual model is called a logical data model. To implement one conceptual data model may require multiple logical data models.
A Data Model is a description of the relationships between different entities.
Creating a model of data used in an organization; one of the uses of abstraction. (See 'pedia def ( http://en.wikipedia.org/wiki/Data_modeling))
A method used to define and analyze data requirements needed to support the business functions of an enterprise. These data requirements are recorded as a conceptual data model with associated data definitions. Data modeling defines the relationships between data elements and structures.
A structured approach used to identify major components of an information system's specifications. Data Modeling enables you to 1- Promote data as a corporate asset to share across the enterprise. 2- Provide business professionals with a graphical display of their business rules and requirements 3- Bridge the gap between business experts and technical experts. 4- Establish consensus/agreement. 5- Build a stable data foundation.
This is a form of modeling that applies the Relational Data Model to data storage. The principle diagram is an Entity Relationship Diagram. Though Data Models are superficially quite similar to Class Models, that is purely superficial. The semantics and construction techniques are quite different.
In computer science, data modeling is the process of creating a data model by applying a data model theory to create a data model instance. A data model theory is a formal data model description. See database model for a list of current data model theories.