in full Structured Query Language. Computer programming language used for retrieving records or parts of records in databases and performing various calculations before displaying the results. SQL is particularly suitable for searching relational databases. It has a formal, powerful syntax and is able to accommodate logical operators. Its sentence-like structure resembles natural language except that its syntax is limited and fixed
Sturctured Query Language - the language for commands that create database queries
Stands for Structured Query Language which is a programming language for sending queries to databases Most database applications can now be addressed using SQL Each specific application will have its own version of SQL implementing features unique to that application, but all SQL-capable databases support a common subset of SQL
Structured Query Language The almost standard data structuring and access language used by relational databases MDX is based loosely on SQL, though it requires a different skills set
Structured Query Language - SQL is a standard interactive and programming language for getting information from and updating a database Although SQL is both an ANSI and an ISO standard, many database products support SQL with proprietary extensions to the standard language
(Structured Query Language) The standardized query language for requesting information from a database
(Structured Query Language) -- A specialized programming language for sending queries to databases Most industrial-strength and many smaller database applications can be addressed using SQL Each specific application will have its own version of SQL implementing features unique to that application, but all SQL-capable databases support a common subset of SQL
Stands for "Structured Query Language", a standardized language that approximates the structure of natural English for obtaining information from databases (Back)
(Structured Query Language) - The language used for manipulating records and fields (rows and columns) in a relational database Sometimes erroneously pronounced "sequel" Example SQL databases are MySQL, PostgreSQL, mSQL and some Oracle databases
An acronym, pronounced either as "sequel" or "seekel," for Structured Query Language, a language developed by IBM Corporation for processing data contained in mainframe computer databases (Sequel is the name of a language, similar to SQL, developed by IBM but no longer in use ) SQL has now been institutionalized by the creation of an ANSI standard for the language
Structured Query Language A standard language for querying and modifying relational databases
Structured Query Language - a standard computer language for communicating with a relational database
Structured Query Language A language used by relational databases to query, update, and manage data
SQL is a standard interactive and programming language for getting information from and updating a database Queries take the form of a command language that lets you select, insert, update, find out the location of data, and so forth SQL was first introduced as a commercial database system in 1979 by Oracle Corporation
Structured Query Language, an ANSI standard language designed for manipulation of relational databases; some superset of ANSI SQL is built into every RDBMS
Structured Query Language A syntax for defining and manipulating data from a relational database Developed by IBM in the 1970s, it has become an industry standard for query languages in most relational database management systems
(Structured Query Language) -- A specialized programming language for sending queries to databases Most industrial size and many smaller database applications can be addressed using SQL Each specific application will have its own version of SQL implementing features unique to that application All SQL-capable databases support a common subset of SQL
Structured Query Langauge SQL is a special-purpose, nonprocedural language that supports the definition, manipulation, and control of data in relational database management systems
Structured Query Language: A specialized programming language for sending queries to databases Most industrial-strength and many smaller database applications can be addressed using SQL Each specific application will have its own version of SQL implementing features unique to that application, but all SQL-capable databases support a common subset of SQL T Return to top
Structured Query Language (pronounced SQL or Sequel) A language used to create, maintain, and query relational databases It is an ISO and ANSI standard SQL uses regular English words for many of its commands, which makes it easy to use It is often embedded within other programming languages
(Structured Query Language) A specialized programming language for sending queries to databases Most industrial-strength and many smaller database applications can be addressed using SQL Each specific application will have its own version of SQL implementing features unique to that application, but all SQL-capable database support a common subset of SQL
Structured Query Language Developed by IBM in the mid-1970s as a way to get information into and out of relational database management systems A fundamental difference between SQL and standard programming languages is that SQL is declarative You specify what kind of data you want from the database; the RDBMS is responsible for figuring out how to retrieve it I include a tutorial on SQL in the chapter "Database Management Systems"
Structured Query Language A specialized programming language for sending queries to databases Most industrial-strength and many smaller database applications can be addressed using SQL Each specific application will have its own version of SQL implementing features unique to that application, but all SQL-capable databases support a common subset of SQL
Creates queries based on user data, environment variables, and previously returned query results Dynamic SQL can also increase processing efficiency by executing multiple queries and sending them to multiple databases from a single browser request
The process of creating database queries based on user data, environment variables, and previous query results Dynamic SQL can also increase processing efficiency by executing multiple queries and sending them to multiple databases from a single browser request
SQL statements are created, prepared, and executed while a program is executing It is, therefore, possible with dynamic SQL to change the SQL statement during program execution and have many variations of a SQL statement at run time
Creating queries based on user data, environment variables, and previously returned query results Dynamic SQL can also increase processing efficiency by executing multiple queries and sending them to multiple databases from a single browser request