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The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).
"Schema" comes from the Greek word schēmat or schēma, meaning "figure". [7]Prior to its use in psychology, the term "schema" had primarily seen use in philosophy.For instance, "schemata" (especially "transcendental schemata") are crucial to the architectonic system devised by Immanuel Kant in his Critique of Pure Reason.
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.
W3C XML Schema is complex and hard to learn, although that is partially because it tries to do more than mere validation (see PSVI). Although being written in XML is an advantage, it is also a disadvantage in some ways. The W3C XML Schema language, in particular, can be quite verbose, while a DTD can be terse and relatively easily editable.
A conceptual schema or conceptual data model is a high-level description of informational needs underlying the design of a database. [1] [2] It typically includes only the core concepts and the main relationships among them. This is a high-level model with insufficient detail to build a complete, functional database. [3]
Body schema, a neural representation of one's own bodily posture; Galant Schemata, stock phrases in Galant music; Schema (Kant), in philosophy; Schema (psychology), a mental set or representation; Schema Records, a jazz record label in Milan, Italy; Schema (monasticism) , a solemn vow of asceticism of a monk in Orthodox monasticism
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.
A schema migration is performed on a database whenever it is necessary to update or revert that database's schema to some newer or older version. Migrations are performed programmatically by using a schema migration tool. When invoked with a specified desired schema version, the tool automates the successive application or reversal of an ...