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  2. Logical schema - Wikipedia

    en.wikipedia.org/wiki/Logical_schema

    A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.

  3. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    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. The most popular example of a database model is the relational model , which uses a table-based format.

  4. Data independence - Wikipedia

    en.wikipedia.org/wiki/Data_independence

    Modifications at the logical level are necessary whenever the logical structure of the database is altered (for example, when money-market accounts are added to banking system). Logical Data independence means if we add some new columns or remove some columns from table then the user view and programs should not change.

  5. ANSI-SPARC Architecture - Wikipedia

    en.wikipedia.org/wiki/ANSI-SPARC_Architecture

    It excludes irrelevant data as well as data which the user is not authorised to access. Conceptual Level: The conceptual level is a way of describing what data is stored within the whole database and how the data is inter-related. The conceptual level does not specify how the data is physically stored. Some important facts about this level are:

  6. Database design - Wikipedia

    en.wikipedia.org/wiki/Database_design

    Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. [1] A database management system manages the data accordingly.

  7. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Implementation of one conceptual data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data modeling defines not just data elements, but also their ...

  8. Database - Wikipedia

    en.wikipedia.org/wiki/Database

    This process is often called logical database design, and the output is a logical data model expressed in the form of a schema. Whereas the conceptual data model is (in theory at least) independent of the choice of database technology, the logical data model will be expressed in terms of a particular database model supported by the chosen DBMS.

  9. 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.