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  2. Data independence - Wikipedia

    en.wikipedia.org/wiki/Data_independence

    Data independence is the type of data transparency that matters for a centralized DBMS. [1] It refers to the immunity of user applications to changes made in the definition and organization of data. Application programs should not, ideally, be exposed to details of data representation and storage.

  3. Functional database model - Wikipedia

    en.wikipedia.org/wiki/Functional_Database_Model

    Another advantage of the functional model is that it is a database with features such as data independence, concurrent multiuser access, integrity, scalability, security, audit trail, backup/recovery, and data integration. Data independence is of particularly high value for analytics. Data need no longer reside in spreadsheets. Instead the ...

  4. Dataphor - Wikipedia

    en.wikipedia.org/wiki/Dataphor

    Dataphor is an open-source truly-relational database management system and its accompanying user interface technologies, which together are designed to provide highly declarative software application development. The Dataphor Server has its own storage engine or it can be a virtual, or federated, DBMS, meaning that it can utilize other database ...

  5. Network transparency - Wikipedia

    en.wikipedia.org/wiki/Network_transparency

    In a centralized database system, the only available resource that needs to be shielded from the user is the data (that is, the storage system). In a distributed DBMS, a second resource needs to be managed in much the same manner: the network. Preferably, the user should be protected from the network operational details.

  6. Codd's 12 rules - Wikipedia

    en.wikipedia.org/wiki/Codd's_12_rules

    Codd's twelve rules [1] are a set of thirteen rules (numbered zero to twelve) proposed by Edgar F. Codd, a pioneer of the relational model for databases, designed to define what is required from a database management system in order for it to be considered relational, i.e., a relational database management system (RDBMS).

  7. Navigational database - Wikipedia

    en.wikipedia.org/wiki/Navigational_database

    The declarative nature of relational languages such as SQL offered better programmer productivity and a higher level of data independence (that is, the ability of programs to continue working as the database structure evolves.) Navigational interfaces, as a result, were gradually eclipsed during the 1980s by declarative query languages.

  8. 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.

  9. IDMS - Wikipedia

    en.wikipedia.org/wiki/IDMS

    The data model offered to users is the CODASYL network model. The main structuring concepts in this model are records and sets. The main structuring concepts in this model are records and sets. Records essentially follow the COBOL pattern, consisting of fields of different types: this allows complex internal structure such as repeating items ...