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Saving a ddl file in Oracle SQL Developer. 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.
The Actian NoSQL Database enables developers using object oriented languages to transactionally store their information by allowing the respective language to act as the Data Definition Language (DDL) for the database. In other words, the memory model is the database schema model. [4]
Data definition language or data description language, relating to databases; Description Definition Language, part of the MPEG-7 standard; Device Description Language, related to field devices for process and factory automation; Digital data logger, a type of data logger, an electronic device that records data over time or in relation to location
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]
A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...
Description language may refer to: Interface description language aka interface definition language (IDL) ... DDL (disambiguation) Specification and Design Language
Data-driven learning (DDL) is an approach to foreign language learning. Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm (see DIKW ...
Standard examples of data-driven languages are the text-processing languages sed and AWK, [1] and the document transformation language XSLT, where the data is a sequence of lines in an input stream – these are thus also known as line-oriented languages – and pattern matching is primarily done via regular expressions or line numbers.