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Find such a diagram in the ARBA Book " A Guide To Successful Rabbit Raising."

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15y ago

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Mapping in DBMS architecture?

We know that three view-levels are described by means of three schemas. These schemas are stored in the data dictionary. In DBMS, each user refers only to its own external schema. Hence, the DBMS must transform a request on. a specified external schema into a request against conceptual schema, and then into a request against internal schema to store and retrieve data to and from the database. The process to convert a request (from external level) and the result between view levels is called mapping. The mapping defines the correspondence between three view levels. The mapping description is also stored in data dictionary. The DBMS is responsible for mapping between these three types of schemas. There are two types of mapping. (i) External-Conceptual mapping (ii) Conceptual-Internal mapping External-Conceptual Mapping An external-conceptual mapping defines the correspondence between a particular external view and the conceptual view. The external-conceptual mapping tells the DBMS which objects on the conceptual level correspond to the objects requested on a particular user's external view. If changes are made to either an external view or conceptual view, then mapping must be changed accordingly. Conceptual-Internal Mapping The conceptual-internal mapping defines the correspondence between the conceptual view and the internal view, i.e. database stored on the physical storage device. It describes how conceptual records are stored and retrieved to and from the storage device. This means that conceptual-internal mapping tells the DBMS that how the conceptual! records are physically represented. If the structure of the stored database is changed, then the mapping must be changed accordingly. It is the responsibility of DBA to manage such changes.


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What is Mapping bet internal conceptual and external views?

Mapping between internal conceptual and external views involves creating a bridge between how data is structured within a system (internal conceptual view) and how it is presented or interacted with by users or external systems (external view). The internal conceptual view represents the organization’s data model, including entities, relationships, and attributes, while the external view focuses on user interfaces and experiences. This mapping ensures that the underlying data is effectively aligned with user needs and applications, facilitating data accessibility and usability. Such alignment is crucial for effective data management and system design.