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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.
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 ...
Data can be put in a location/area of a storage mechanism. The fundamental feature of a storage location is that its content is both readable and updatable. Before a storage location can be read or updated it needs to be created; that is allocated and initialized with content.
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 .
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).
In the context of information retrieval, QBE has a somewhat different meaning. The user can submit a document, or several documents, and ask for "similar" documents to be retrieved from a document database [see search by multiple examples [2]]. Similarity search is based comparing document vectors (see Vector Space Model).
The least-fixed-point semantics define the least fixed point of T to be the meaning of the program; this coincides with the minimal Herbrand model. [ 6 ] The fixpoint semantics suggest an algorithm for computing the minimal model: Start with the set of ground facts in the program, then repeatedly add consequences of the rules until a fixpoint ...
Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary. The increase in the size and in the semantic heterogeneity of database schemas bring new requirements for users querying and searching structured data. At this scale it can ...