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  2. Enterprise modelling - Wikipedia

    en.wikipedia.org/wiki/Enterprise_modelling

    Example of the US FEA Business Reference Model. [29] Business reference modelling is the development of reference models concentrating on the functional and organizational aspects of the core business of an enterprise, service organization or government agency. In enterprise engineering a business reference model is part of an enterprise ...

  3. SQL - Wikipedia

    en.wikipedia.org/wiki/SQL

    SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...

  4. Dynamic Business Modeling - Wikipedia

    en.wikipedia.org/wiki/Dynamic_Business_Modeling

    Business strategy drives selection of business models. These business models drive the design of underlying processes and services. Business Analysis is critical: Any number of models can address a strategic imperative. But the best models, services and processes will exploit existing business capabilities (human, IT and physical), the areas where change is possible and the areas where invest

  5. Database - Wikipedia

    en.wikipedia.org/wiki/Database

    The most popular example of a database model is the relational model (or the SQL approximation of relational), which uses a table-based format. Common logical data models for databases include: Navigational databases. Hierarchical database model; Network model; Graph database; Relational model; Entity–relationship model. Enhanced entity ...

  6. Relational model - Wikipedia

    en.wikipedia.org/wiki/Relational_model

    The relational model (RM) is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by English computer scientist Edgar F. Codd, [1] [2] where all data are represented in terms of tuples, grouped into relations.

  7. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    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.

  8. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Relational databases represent all relationships between data in an implicit manner only. [3] [4] For example, the relationships between customers and products (stored in two content-tables and connected with an additional link-table) only come into existence in a query statement (SQL in the case of relational databases) written by a developer.

  9. Conceptual schema - Wikipedia

    en.wikipedia.org/wiki/Conceptual_schema

    A conceptual schema or conceptual data model is a high-level description of informational needs underlying the design of a database. [1] [2] It typically includes only the core concepts and the main relationships among them. This is a high-level model with insufficient detail to build a complete, functional database. [3]