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

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

details.[citation needed] In data modeling, collections of data elements are grouped into "data tables" which contain groups of data field names called "database...

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...

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...

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

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)...

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

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

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

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

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

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...

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...

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

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

of spatial information has led to its own set of model structures, much of the process of data modeling is similar to the rest of information technology...

of support for data integration. The enhanced entity–relationship model (EER modeling) introduces several concepts not in ER modeling, but are closely...

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

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

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

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...

Object–role modeling (ORM) is used to model the semantics of a universe of discourse. ORM is often used for data modeling and software engineering. An...

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

data modeling technique. The differences between row modeling and EAV (which may be considered a generalization of row-modeling) are: A row-modeled table...

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

considerations, including data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing...

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

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

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