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The schema is the physical arrangement of the data as it appears in the DBMS. The sub-schema is the logical view of the data as it appears to the application program.
A subschema should be independent of the schema to ensure modularity and reusability. This allows the subschema to be easily used in different contexts without being tightly coupled to any specific schema, providing flexibility and promoting code maintainability.
Physical schema,logical schema and sub schemas
The schema is the physical arrangement of the data as it appears in the DBMS. The subschema is the logical view of the data as it appears to the application program.
A database schema is an actual plan for a database system. Sub-schemas are separate divisions that are used to achieve the plan for the database system.
A subschema is a subset of a larger schema, and it is designed to be independent and self-contained. It can exist and operate separately from the larger schema, providing specific functionality or representing a specific component of the overall schema. This independence allows for modular design and development, making it easier to manage and maintain the schema as a whole.
SCHEMA is the physical arrangement of the data as it appears in the DBMS. SUB-SCHEMA is the logical view of the data as it appears to the application program.
the overall logical data base description is referred to as a schema. it is sometimes also referred to as an overall modal of the data, a conceptual modal of the data, a conceptual schema
Data independence is the ability to change the schema at one level of the database system without having to change the schema at the other levels.
Yes you should create a schema for any IT project. A schema will provide a road map for the entire project.
A bank schema system has columns and rows representing the system memory sockets. Independent sockets are shown in rows and banks of sockets are shown in columns. It is a way to diagram memory configurations.
In Multidimensional Modelling, common schemas used are Star Schema and Snowflake Schema. Star Schema involves a central fact table connected to multiple dimension tables, while Snowflake Schema normalizes the dimension tables by further breaking them down into sub-dimension tables. These schemas help organize data hierarchically for efficient querying and analysis in multidimensional databases.