data model - définition. Qu'est-ce que data model
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  3. data model

Qu'est-ce (qui) est data model - définition

AN ABSTRACT MODEL THAT ORGANIZES ELEMENTS OF DATA AND STANDARDIZES HOW THEY RELATE TO ONE ANOTHER AND TO REAL WORLD ENTITIES.
Data Model; Structured data; Data model diagram; Data models; Datamodel; History of data modeling; Datamodels
  • Some important properties of data<ref name="MW99"/>
  • How data models deliver benefit<ref name="MW99">Matthew West and Julian Fowler (1999). [https://sites.google.com/site/drmatthewwest/publications/princ03.pdf Developing High Quality Data Models]. The European Process Industries STEP Technical Liaison Executive (EPISTLE).</ref>
  • three level architecture]]. This shows that a data model can be an external model (or view), a conceptual model, or a physical model. This is not the only way to look at data models, but it is a useful way, particularly when comparing models.<ref name="MW99"/>
  • The data modeling process
  • Semantic data models<ref name="FIPS184"/>
  • EXPRESS G]] [[Information model]]
  • Example of a Data Structure Diagram
  • date=2013-12-03 }} released of IDEF1X by the Computer Systems Laboratory of the National Institute of Standards and Technology (NIST). 21 December 1993 (withdrawn in 2008).</ref>
  • A [[binary tree]], a simple type of branching linked data structure
  • Data-Flow Diagram example<ref>John Azzolini (2000). [http://ses.gsfc.nasa.gov/ses_data_2000/000712_Azzolini.ppt Introduction to Systems Engineering Practices]. July 2000.</ref>
  • process]] and data models.<ref name="SS93">Paul R. Smith & Richard Sarfaty Publications, LLC 2009</ref>
  • [[Document Object Model]], a standard [[object model]] for representing [[HTML]] or [[XML]]
  • Example of the application of Object-Role Modeling in a "Schema for Geologic Surface", Stephen M. Richard (1999)<ref name="SMR99">Stephen M. Richard (1999). [http://pubs.usgs.gov/of/1999/of99-386/richard.html Geologic Concept Modeling]. U.S. Geological Survey Open-File Report 99-386.</ref>

data model         
<database> The product of the database design process which aims to identify and organize the required data logically and physically. A data model says what information is to be contained in a database, how the information will be used, and how the items in the database will be related to each other. For example, a data model might specify that a customer is represented by a customer name and credit card number and a product as a product code and price, and that there is a one-to-many relation between a customer and a product. It can be difficult to change a database layout once code has been written and data inserted. A well thought-out data model reduces the need for such changes. Data modelling enhances application maintainability and future systems may re-use parts of existing models, which should lower development costs. A data modelling language is a mathematical formalism with a notation for describing data structures and a set of operations used to manipulate and validate that data. One of the most widely used methods for developing data models is the entity-relationship model. The relational model is the most widely used type of data model. Another example is NIAM. ["Principles of Database and Knowledge-Base Systems", J.D. Ullman, Volume I, Computer Science Press, 1988, p. 32]. (2000-06-24)
Data model         
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. For instance, a data model may specify that the data element representing a car be composed of a number of other elements which, in turn, represent the color and size of the car and define its owner.
https://en.wikipedia.org/wiki/Data_model
Data model (GIS)         
  • Depiction of the Arc/INFO coverage data model, a geo-relational topological vector data model based on the early POLYVRT data model
  • A simple vector data set with points, lines, and polygons representing water features.
  • Raster grid of elevation
WAY OF REPRESENTING GEOGRAPHICAL INFORMATION
Data model (ArcGIS); Geographic data model; GIS data model
A geographic data model, geospatial data model, or simply data model in the context of geographic information systems, is a mathematical and digital structure for representing phenomena over the Earth. Generally, such data models represent various aspects of these phenomena by means of geographic data, including spatial locations, attributes, change over time, and identity.
https://en.wikipedia.org/wiki/Data_model_(GIS)

Wikipédia

Data model

A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. For instance, a data model may specify that the data element representing a car be composed of a number of other elements which, in turn, represent the color and size of the car and define its owner.

The term data model can refer to two distinct but closely related concepts. Sometimes it refers to an abstract formalization of the objects and relationships found in a particular application domain: for example the customers, products, and orders found in a manufacturing organization. At other times it refers to the set of concepts used in defining such formalizations: for example concepts such as entities, attributes, relations, or tables. So the "data model" of a banking application may be defined using the entity–relationship "data model". This article uses the term in both senses.

A data model explicitly determines the structure of data. Data models are typically specified by a data specialist, data librarian, or a digital humanities scholar in a data modeling notation. These notations are often represented in graphical form.

A data model can sometimes be referred to as a data structure, especially in the context of programming languages. Data models are often complemented by function models, especially in the context of enterprise models.

https://en.wikipedia.org/wiki/Data model
Exemples du corpus de texte pour data model
1. With the establishment of a corporate data model across the entire law enforcement community, police can also access information from the probation service and courts.
2. Standard & Poor’s Risk Solutions helps clients worldwide to develop, enhance, and validate their credit assessment processes, collect and analyze data, model credit risk, and train staff, working on both low default and SME credit risk.
3. These resources will communicate critical information and explore the implications of uncertainty for decision making through a variety of means, including observational data, model products, scenario analysis, visualization products, and scientific syntheses and assessments.
4. By integrating our solutions within their operations, issues that traditionally take months for companies to make a decision on can now be dealt with in a matter of days, which leads to less risks, better recovery rates and increased efficiency and production,» said Peter Venn, Business Development Director: Oil & Gas, SAS — Middle East & Africa Enabling companies to quickly create a logical data model that integrates all relevant data from simulations, process, product and equipment–related systems at multiple assets, fields and locations, SAS(r) solutions provide companies in the oil and gas sector a holistic view of their critical operation data as well as additional information with regard to their customers, suppliers and service providers.
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