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Data modeling information


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. The data model will normally consist of entity types, attributes, relationships, integrity rules, and the definitions of those objects. This is then used as the start point for interface or database design.[1]

Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader Model-driven engineering (MDE) concept.

  1. ^ Cite error: The named reference MW99 was invoked but never defined (see the help page).

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Data modeling

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Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may...

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Data model

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generally data modeling or, more specifically, database design. Data models are typically specified by a data expert, data specialist, data scientist, data librarian...

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Data vault modeling

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Datavault or data vault modeling is a database modeling method that is designed to provide long-term historical storage of data coming in from multiple...

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Semantic data model

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Intelligence field. The idea is to provide high level modeling primitives as an integral part of a data model in order to facilitate the representation of real...

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Modeling language

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general-purpose data modeling language. Extended Enterprise Modeling Language (EEML) is commonly used for business process modeling across a number of...

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Erwin Data Modeler

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erwin Data Modeler (stylized as erwin but formerly as ERwin) is computer software for data modeling. Originally developed by Logic Works, erwin has since...

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Conceptual model

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object-role modeling, and the Unified Modeling Language (UML). Data flow modeling (DFM) is a basic conceptual modeling technique that graphically represents...

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Enterprise data modelling

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Enterprise data modelling or enterprise data modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company...

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Dimensional modeling

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design of the model of all the enterprise data using tools such as entity-relationship modeling (ER).: 1258–1260  Dimensional modeling always uses the...

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Bitemporal modeling

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Bitemporal modeling is a specific case of temporal database information modeling technique designed to handle historical data along two different timelines...

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Data

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governance Data integrity Data maintenance Data management Data mining Data modeling Data point Data preservation Data protection Data publication Data remanence...

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Database design

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which takes up more data read, and compute cycles. Some modeling disciplines, such as the dimensional modeling approach to data warehouse design, explicitly...

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Data warehouse

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systems, a central data warehouse, or external data. Denormalization is the norm for data modeling techniques in this system. Given that data marts generally...

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Building information modeling

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Building information modeling (BIM) is a process involving the generation and management of digital representations of the physical and functional characteristics...

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Unified Modeling Language

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The unified modeling language (UML) is a general-purpose visual modeling language that is intended to provide a standard way to visualize the design of...

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Anchor modeling

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for conceptual modeling similar to that of entity-relationship modeling, with extensions for working with temporal data. The modeling technique involves...

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Comparison of data modeling tools

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comparison of data modeling tools which are notable, including standalone, conventional data modeling tools and modeling tools supporting data modeling as part...

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Predictive modelling

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been updated. Predictive modelling has been used to estimate surgery duration. Predictive modeling in trading is a modeling process wherein the probability...

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IDEF1X

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information modeling (IDEF1X) is a data modeling language for the development of semantic data models. IDEF1X is used to produce a graphical information model which...

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Relational model

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The relational model (RM) is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in...

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Common data model

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common data model (CDM) can refer to any standardised data model which allows for data and information exchange between different applications and data sources...

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3D modeling

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Being a collection of data (points and other information), 3D models can be created manually, algorithmically (procedural modeling), or by scanning. Their...

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