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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 ...
It was historically named SEQUEL, but that doesn't mean it is true that it is historically pronounced "sequel." It is very common today, especially in the SQL Server community, to pronounce it "sequel." I think both should be given as valid pronunciations without the "historically" qualifier. WanderingDev 16:24, 11 July 2024 (UTC)
SEQUEL was designed to manipulate and retrieve data in relational databases. By 1974, Chamberlin and Boyce published “SEQUEL: A Structured English Query Language” which detailed their refinements to SQUARE and introduced us to the data retrieval aspects of SEQUEL. [5] It was one of the first languages to use Edgar F. Codd's relational model.
Pronunciation may even vary within a single speaker's vocabulary, depending on narrow contexts. As an example, the database programming language SQL is usually said as three letters, but in reference to Microsoft's implementation is traditionally pronounced like the word sequel.
Reserved words in SQL and related products In SQL:2023 [3] In IBM Db2 13 [4] In Mimer SQL 11.0 [5] In MySQL 8.0 [6] In Oracle Database 23c [7] In PostgreSQL 16 [1] In Microsoft SQL Server 2022 [2]
SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.
Back in July, copywriter Kevin Lynch, originally from Chicago, and his puppy Umlaut, visited all 21 counties in Sweden, stopping off at places with IKEA products named for them.
FQL enables you to use a SQL-style interface to query the data exposed by the Graph API. It provides advanced features not available in the Graph API. [3] Gellish English is a language that can be used for queries in Gellish English Databases, for dialogues (requests and responses) as well as for information modeling and knowledge modeling; [4]