Data Definition Language - definição. O que é Data Definition Language. Significado, conceito
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O que (quem) é Data Definition Language - definição

SYNTAX FOR DEFINING DATA STRUCTURES IN A DATABASE
Drop (SQL); Create (SQL); Alter (SQL); Create (sql); CREATE (SQL); Data Description Language; Data definition; Create sql; Drop sql; Data Definition Language; Sql drop; Drop database; Data definition language (SQL)

Data definition language         
<language, database> (DDL) 1. A language enabling the structure and instances of a database to be defined in a human-, and machine-readable form. SQL contains DDL commands that can be used either interactively, or within programming language source code, to define databases and their components, e.g. CREATE and DROP. See also Data manipulation language (DML). 2. A specification language for databases, based on the entity-relationship model. It is used in the Eli compiler-compiler to manage type definitions. ["DDL Reference Manual", ECE Dept U Colorado, 1991]. (1999-04-26)
Data Manipulation Language         
FAMILY OF SYNTAX ELEMENTS USED FOR SELECTING, INSERTING, DELETING AND UPDATING DATA IN A DATABASE
Data Manipulation Language
<language, database> (DML, or Data Management Language) A language for the manipulation of data in a database by applications and/or directly by end-users. SQL contains DML commands such as INSERT, UPDATE, and DELETE. See also Data Definition Language (DDL). (1999-04-26)
Data Language Interface         
DATABASE LANGUAGE
IBM Data Language One (DL/1); Data Language/1; DL/I; DL/1
Data Language Interface (Data Language/I, DL/I, Data Language/Interface, Data Language/One) is the language system used to access IBM's IMS databases, and its data communication system.

Wikipédia

Data definition language

In the context of SQL, data definition or data description language (DDL) is a syntax for creating and modifying database objects such as tables, indices, and users. DDL statements are similar to a computer programming language for defining data structures, especially database schemas. Common examples of DDL statements include CREATE, ALTER, and DROP.