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...

data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that...

Within data modelling, cardinality is the numerical relationship between rows of one table and rows in another. Common cardinalities include one-to-one...

data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is...

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...

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

A hierarchical database model is a data model in which the data is organized into a tree-like structure. The data are stored as records which is a collection...

logical model database tables is sometimes referred to as a HasAndBelongsToMany (HABTM) relationship. Associative entity One-to-one (data model) One-to-many...

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

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

Data-driven models are a class of computational models that primarily rely on historical data collected throughout a system's or process' lifetime to...

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

A geographic data model, geospatial geographical measurements, or simply data from modules in the context of geographic information systems (GIS), is a...

post-relational. The two main early navigational data models were the hierarchical model and the CODASYL model (network model). These were characterized by the use...

current data. The schema used to store transactional databases is the entity model (usually 3NF).[citation needed] Normalization is the norm for data modeling...

data modeling and threat modeling. When using UML, the activity diagram typically takes over the role of the data-flow diagram. A special form of data-flow...

standard for generic data modeling language for product data. EXPRESS is formalized in the ISO Standard for the Exchange of Product model STEP (ISO 10303)...

processes. Consequently, the ER model becomes an abstract data model, that defines a data or information structure that can be implemented in a database...

validate mathematical models and to train machine learning models. Data generated by a computer simulation can be seen as synthetic data. This encompasses...

trying to determine the probability of a set of data belonging to another set. For example, a model might be used to determine whether an email is spam...

A modeling language is any artificial language that can be used to express data, information or knowledge or systems in a structure that is defined by...

standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the...

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...

The XQuery and XPath Data Model (XDM) is the data model shared by the XPath 2.0, XSLT 2.0, XQuery, and XForms programming languages. It is defined in a...

Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 to mean "any model that is trained on broad data (generally using self-supervision...

database model is a type of data model that determines the logical structure of a database. It fundamentally determines in which manner data can be stored...

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions...

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

network model was adopted by the CODASYL Data Base Task Group in 1969 and underwent a major update in 1971. It is sometimes known as the CODASYL model for...

many-to-one relationship is sometimes notated as N:1. One-to-one (data model) Many-to-many (data model) "Three Relationship Types". RelationalDBDesign. 1 March...