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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. ANSI-SPARC Architecture - Wikipedia

    en.wikipedia.org/wiki/ANSI-SPARC_Architecture

    The ANSI-SPARC model however, never became a formal standard. No mainstream DBMS systems are fully based on it (they tend not to exhibit full physical independence or to prevent direct user access to the conceptual level), but the idea of logical data independence is widely adopted.

  4. 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 ...

  5. 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.

  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. First normal form - Wikipedia

    en.wikipedia.org/wiki/First_normal_form

    The purpose of this normalization is to increase flexibility and data independence, and to simplify the data language. It also opens the door to further normalization, which eliminates redundancy and anomalies. Most relational database management systems do not support nested records, so tables are in first normal form by default.

  8. Testing forgotten rape kits could free the innocent. Here’s ...

    www.aol.com/testing-forgotten-rape-kits-could...

    It was entered into the national DNA database, where it matched a different man, Shon Luther Matthews. In 2016 – 25 years after the crime – Matthews pleaded guilty to the sexual assault.

  9. Open Database Connectivity - Wikipedia

    en.wikipedia.org/wiki/Open_Database_Connectivity

    In computing, Open Database Connectivity (ODBC) is a standard application programming interface (API) for accessing database management systems (DBMS). The designers of ODBC aimed to make it independent of database systems and operating systems .