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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.
Data modeling may be performed during various types of projects and in multiple phases of projects. Data models are progressive; there is no such thing as the final data model for a business or application. Instead a data model should be considered a living document that will change in response to a changing business.
Data architecture which describes the structure of an organization's logical and physical data assets and the associated data management resources; Applications architecture which provides a blueprint for the individual systems to be deployed, the interactions between the application systems, and their relationships to the core business ...
The Information Framework (formally Shared Information/Data Model or SID) is a unified reference data model providing a single set of terms for business objects in telecommunications. The objective is to enable people in different departments, companies or geographical locations to use the same terms to describe the same real world objects ...
Application runtime architecture discovery and modeling; User-defined transaction profiling (also called business transaction management) Application component monitoring; Reporting & Application data analytics. In 2016, Gartner Research has updated its definition, into three main functional dimensions: [9]
Product data management is the use of software or other tools to track and control data related to a particular product. The data tracked usually involves the technical specifications of the product, specifications for manufacture and development, and the types of materials that will be required to produce goods.
Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new ontologies etc. It is based on knowledge about the enterprise, previous models and/or reference models as well as domain ontologies using model representation languages. [3]
A data architecture, in part, describes the data structures used by a business and its computer applications software. Data architectures address data in storage, data in use, and data in motion; descriptions of data stores, data groups, and data items; and mappings of those data artifacts to data qualities, applications, locations, etc.
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