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  2. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    The inverted file data model can put indexes in a set of files next to existing flat database files, in order to efficiently directly access needed records in these files. Notable for using this data model is the ADABAS DBMS of Software AG, introduced in 1970. ADABAS has gained considerable customer base and exists and supported until today.

  3. Object-oriented analysis and design - Wikipedia

    en.wikipedia.org/wiki/Object-oriented_analysis...

    Relational data model (if applicable): A data model is an abstract model that describes how data is represented and used. If an object database is not used, the relational data model should usually be created before the design since the strategy chosen for object–relational mapping is an output of the OO design process. However, it is ...

  4. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling:

  5. Elasticsearch - Wikipedia

    en.wikipedia.org/wiki/Elasticsearch

    Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant -capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java , [ 2 ] .NET [ 3 ] ( C# ), PHP , [ 4 ] Python , [ 5 ] Ruby [ 6 ] and many other languages. [ 7 ]

  6. Data-driven model - Wikipedia

    en.wikipedia.org/wiki/Data-driven_model

    Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]

  7. Enterprise modelling - Wikipedia

    en.wikipedia.org/wiki/Enterprise_modelling

    Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new ontologies etc. It is based on knowledge about the enterprise, previous models and/or reference models as well as domain ontologies using model representation languages. [3]

  8. Systems modeling - Wikipedia

    en.wikipedia.org/wiki/Systems_modeling

    Business Process Modeling Notation Example. Systems modeling or system modeling is the interdisciplinary study of the use of models to conceptualize and construct systems in business and IT development. [2] A common type of systems modeling is function modeling, with specific techniques such as the Functional Flow Block Diagram and IDEF0.

  9. Domain-driven design - Wikipedia

    en.wikipedia.org/wiki/Domain-driven_design

    Domain-driven design (DDD) is a major software design approach, [1] focusing on modeling software to match a domain according to input from that domain's experts. [2] DDD is against the idea of having a single unified model; instead it divides a large system into bounded contexts, each of which have their own model.

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