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  2. ANSI-SPARC Architecture - Wikipedia

    en.wikipedia.org/wiki/ANSI-SPARC_Architecture

    Internal Level: The internal level involves how the database is physically represented on the computer system. It describes how the data is actually stored in the database and on the computer hardware. The Three Level Architecture has the aim of enabling users to access the same data but with a personalised view of it.

  3. Semantic data model - Wikipedia

    en.wikipedia.org/wiki/Semantic_data_model

    The logical data structure of a database management system (DBMS), whether hierarchical, network, or relational, cannot totally satisfy the requirements for a conceptual definition of data, because it is limited in scope and biased toward the implementation strategy employed by the DBMS. Therefore, the need to define data from a conceptual view ...

  4. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    Schema-level matchers only consider schema information, not instance data. The available information includes the usual properties of schema elements, such as name, description, data type, relationship types (part-of, is-a, etc.), constraints, and schema structure.

  5. Database - Wikipedia

    en.wikipedia.org/wiki/Database

    Traditional view of data [38] A database management system provides three views of the database data: The external level defines how each group of end-users sees the organization of data in the database. A single database can have any number of views at the external level.

  6. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term "schema" refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases).

  7. Data independence - Wikipedia

    en.wikipedia.org/wiki/Data_independence

    Physical data independence is the ability to modify the physical schema without causing application programs to be rewritten. Modifications at the physical level are occasionally necessary to improve performance. It means we change the physical storage/level without affecting the conceptual or external view of the data.

  8. 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]

  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.