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  2. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    In the context of Oracle Databases, a schema object is a logical data storage structure. [4] An Oracle database associates a separate schema with each database user. [5] A schema comprises a collection of schema objects. Examples of schema objects include: tables; views; sequences; synonyms; indexes; clusters; database links; snapshots ...

  3. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.

  4. Data independence - Wikipedia

    en.wikipedia.org/wiki/Data_independence

    Physical data independence: The ability to change the physical schema without changing the logical schema is called physical data independence. For example, a change to the internal schema, such as using different file organization or storage structures, storage devices, or indexing strategy, should be possible without having to change the ...

  5. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    Database model for MediaWiki 1.28.0 (2017) Different types of database models A 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, organized and manipulated.

  6. Federated database system - Wikipedia

    en.wikipedia.org/wiki/Federated_database_system

    For example, differences in query languages with the same data models or different versions of query languages could contribute to heterogeneity. Semantic heterogeneities arise when there is a disagreement about meaning, interpretation or intended use of data. At the schema and data level, classification of possible heterogeneities include:

  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. Logical schema - Wikipedia

    en.wikipedia.org/wiki/Logical_schema

    For example, a table/column design could be implemented on a collection of computers, located in different parts of the world. That is the domain of the physical model. Conceptual, logical and physical data models are very different in their objectives, goals and content. Key differences noted below.

  9. Three-schema approach - Wikipedia

    en.wikipedia.org/wiki/Three-schema_approach

    The notion of a three-schema model was first introduced in 1975 by the ANSI/X3/SPARC three level architecture, which determined three levels to model data. [1]The three-schema approach, or three-schema concept, in software engineering is an approach to building information systems and systems information management that originated in the 1970s.