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SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
Structured Query Language is one of the most popular computer languages used to create, modify and query databases. Subcategories This category has the following 8 subcategories, out of 8 total.
Chamberlin is best known as co-inventor of SQL (Structured Query Language), the world's most widely used database language. Developed in the mid-1970s by Chamberlin and Raymond Boyce, SQL was the first commercially successful language for relational databases.
A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. [1] A well known example is the Structured Query Language (SQL).
SQL:2011 or ISO/IEC 9075:2011 (under the general title "Information technology – Database languages – SQL") is the seventh revision of the ISO (1987) and ANSI (1986) standard for the SQL database query language.
The syntax of the SQL programming language is defined and maintained by ISO/IEC SC 32 as part of ISO/IEC 9075. This standard is not freely available. This standard is not freely available. Despite the existence of the standard, SQL code is not completely portable among different database systems without adjustments.
[6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language. A relational database organizes data into one or more data tables in which data may be related to each other; these relations help structure the data. SQL is a language that programmers use ...
Basically, this new feature makes it easier to query data in tables as if it were in a graph database, providing a possibly more intuitive alternative to writing complex join queries. [ 4 ] In comparison, the GQL standard for graph DBMSs adds graph updates, querying multiple graphs, and queries that return a graph result rather than a binding ...