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While the hierarchical database model structures data as a tree of records, with each record having one parent record and many children, the network model allows each record to have multiple parent and child records, forming a generalized graph structure. This property applies at two levels: the schema is a generalized graph of record types ...
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.
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 ...
The logical data structure of a 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.
The ANSI X3H2 Committee, formed May 1978, was originally charged with creating a standard for the CODASYL network data model. The resulting NDL (network database language) standard was finished in 1982. The committee work on standardizing the relational data model resulted in the SQL (structured query language) standard in 1984.
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. (The terms data model and database model are often used interchangeably, but in this article we use data model for the design ...
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.
The Data Base Task Group (DBTG) was a working group founded in 1965 by the Cobol Committee, formerly Programming Language Committee, of the Conference on Data Systems Language . It was initially named the List Processing Task Force and later renamed to DBTG in 1967. The DBTG was chaired by William Olle of RCA. [1]