How do different schema definition language support three schema architecture?
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In a three schema
approach, most data-related description languages or
tools associated with schemas focus on the "physical level"
and "view level", with the "conceptual level" mostly used
in combining the schema design itself. In relational databases,
the physical model is explained using SQL DDL. Physical schemas in NoSQL
can be fixed to particular records using JSON or XML. There are some
languages to describe conceptual schemas. But now a day languages are not used for conceptual
schemas but instead Entity relationship model, a diagramming and
description tool is used. The "view level" or "external level"
is implemented outside of data managers in user-side code. This is done using
object relational mapping with the help of tools like Hibernate. These tools
convert "physical layer" schemas structure to "external-friendly"
structures. Here the user input UI elements is given to the application
code. Code having "database layer" is
implemented inside the API.
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approach, most data-related description languages or
tools associated with schemas focus on the "physical level"
and "view level", with the "conceptual level" mostly used
in combining the schema design itself. In relational databases,
the physical model is explained using SQL DDL. Physical schemas in NoSQL
can be fixed to particular records using JSON or XML. There are some
languages to describe conceptual schemas. But now a day languages are not used for conceptual
schemas but instead Entity relationship model, a diagramming and
description tool is used. The "view level" or "external level"
is implemented outside of data managers in user-side code. This is done using
object relational mapping with the help of tools like Hibernate. These tools
convert "physical layer" schemas structure to "external-friendly"
structures. Here the user input UI elements is given to the application
code. Code having "database layer" is
implemented inside the API.
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