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A data control language (DCL) is a syntax similar to a computer programming language used to control access to data stored in a database (authorization). In particular, it is a component of Structured Query Language (SQL). Data Control Language is one of the logical group in SQL Commands.
Data-centric programming language defines a category of programming languages where the primary function is the management and manipulation of data. A data-centric programming language includes built-in processing primitives for accessing data stored in sets, tables, lists, and other data structures and databases, and for specific manipulation and transformation of data required by a ...
One technique for evaluating database security involves performing vulnerability assessments or penetration tests against the database. Testers attempt to find security vulnerabilities that could be used to defeat or bypass security controls, break into the database, compromise the system etc. Database administrators or information security administrators may for example use automated ...
This capability is a central feature of dynamic programming languages. See also control tables for tables that are normally coded and embedded within programs as data structures (i.e. not compiled statements) but could equally be read in from a flat file, database or even retrieved from a spreadsheet.
Database languages are special-purpose languages, which allow one or more of the following tasks, sometimes distinguished as sublanguages: Data control language (DCL) – controls access to data; Data definition language (DDL) – defines data types such as creating, altering, or dropping tables and the relationships among them;
ECL (Enterprise Control Language) is a declarative, data-centric programming language designed in 2000 to allow a team of programmers to process big data across a high performance computing cluster without the programmer being involved in many of the lower level, imperative decisions. [1] [2]
The data management programs know about the structure and relationships of the database and the business rules that control create, read, update, and delete actions. When definitions and rules change the data management programs require regeneration but the applications that use the data require no change.
In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).