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Data independence is a form of database management that keeps data separated from all programs that make use of the data. As a cornerstone for the idea of a DBMS or database management system, data independence ensures that the data cannot be redefined or reorganized by any of the programs that make use of the data. In this manner, the dataremains accessible, but is also stable and cannot be corrupted by the applications using it.
Data independence refers to the ability to make changes to the data storage structure without affecting the applications that use the data. There are two types of data independence: logical data independence, which insulates applications from changes to the logical structure of the data, and physical data independence, which shields applications from changes to the physical storage structure of the data. This concept is a key aspect of database design and helps to promote flexibility, scalability, and maintainability of data systems.
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Why logical data independence is more difficult than physical data independence?
Logical data independence is considered more difficult than physical data independence because it involves changes to the conceptual schema and external schema, which are more closely tied to the way data is organized and viewed in the application. Physical data independence, on the other hand, deals with changes to the internal schema, which is more abstract and can be modified with less impact on the overall system.
Is it harder to achieve logical data independence or physical data independence?
It is generally considered more difficult to achieve logical data independence compared to physical data independence. Logical data independence involves separating the conceptual structure of the data from the physical storage aspects, which can be complex depending on the database design. Physical data independence primarily deals with shielding the application from changes in the storage structure, which is usually more straightforward to achieve.
What do you mean by data independence?
Data independence refers to the ability to make changes in the database structure without affecting the applications that use the data. It is achieved through different levels: physical, logical, and view-level independence. This helps in isolating the applications from underlying changes, providing flexibility and reducing dependency.
2.5 What is the difference between logical data independence and physical data independence?
Logical data independence refers to the ability to change the conceptual schema without affecting the external schema or application programs. Physical data independence, on the other hand, refers to the ability to change the physical schema without affecting the conceptual schema. This allows changes in the storage structure or access methods without changing how data is viewed or accessed by applications.
Why is data independence lacking in file systems?
Data independence is lacking in file systems because they often store data in a format that is tightly coupled with the applications that use it. This means that changing the structure or format of the data requires modifications to the applications, leading to a lack of flexibility and interoperability. In contrast, databases offer better data independence by separating the physical storage of data from the logical representation, allowing for easier modifications without impacting applications.
How it is related to data independence?
Hi, Data Independence refers to the immunity of user application to make changes in the definition and organization of Data. There are three types of Data Independence - 1. Logical Data Independence - The ability to change the logical (conceptual) schema without changing the External schema (User View) is called logical data independence. 2. Physical Data Independence - The ability to change the physical schema without changing the logical schema is called physical data independence. 3. View Data Independence - always independent,no effect.
How are the internal external and conceptual schemas related to concept of logical and physical data independence?
The internal schema represents the physical storage structure of data, the external schema represents how different users view the data, and the conceptual schema defines the logical structure of the entire database. Logical data independence means that the conceptual schema can change without affecting the external schemas, while physical data independence means that changes in the physical storage structures do not affect the conceptual or external schemas.
Why logical data independence is more difficult than physical data independence?
Logical data independence is considered more difficult than physical data independence because it involves changes to the conceptual schema and external schema, which are more closely tied to the way data is organized and viewed in the application. Physical data independence, on the other hand, deals with changes to the internal schema, which is more abstract and can be modified with less impact on the overall system.
Is it harder to achieve logical data independence or physical data independence?
It is generally considered more difficult to achieve logical data independence compared to physical data independence. Logical data independence involves separating the conceptual structure of the data from the physical storage aspects, which can be complex depending on the database design. Physical data independence primarily deals with shielding the application from changes in the storage structure, which is usually more straightforward to achieve.
Is the word independence a concrete or abstract?
The word 'independence' is an abstract noun, a word for a concept.
Which one between logical and physical data independent is harder to achieve and why?
the logical data independence is hard to achieve because all the manipulation is belonging in logical data independence but in physical data independence only show the physical view .
What do you mean by data independence?
Data independence refers to the ability to make changes in the database structure without affecting the applications that use the data. It is achieved through different levels: physical, logical, and view-level independence. This helps in isolating the applications from underlying changes, providing flexibility and reducing dependency.
Is independence an abstract or concrete noun?
The noun 'independence' is an abstract noun, a word for a concept.
Why data independence is important?
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In OOP the concept of insulating data and from direct access by the program is known as?
In OOP, the concept of insulating data and from direct access by the program is known as
What Logical data independence and physical data?
Logical data independence refers to the ability to modify the conceptual schema without changing the external schemas or application programs. In contrast, physical data independence allows changes to the internal schema – like indexes and storage structures – without affecting the conceptual or external schemas.
What type of language is delphi whether it is a oops or procedural?
its not a oops concept, its a procedural concept in data structure as well as data ananlysis n algorthim
