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logical data independence
1)the ablity to modify the conceptual scheme without causing application program to be rewritten.
2)usually done when logical structure of database is altered.
The logical data
independence is the key side of database management system for
maintaining data integrity and for maintain overall effectiveness of
data usage. Logical data nouns is an important part of three schema
architecture which allows the change or modification of conceptual
schema short disturbing the external schema. The modifications in
conceptual schema may include alteration of entities, attributes,
relationships etc. Changing any of these elements will not disturb the
external application programs which is a key advantage of logical
information independence feature of database management systems.
Wiki User
∙ 11y ago
Logical data independence refers to the ability to make changes to the logical structure of the database without affecting the application programs that access that data. This is important because it allows for easier maintenance and updates to the database system, as changes to the database schema can be made without disrupting the application layer.
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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.
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.
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.
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.
Concept of data independence?
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.
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.
What Logical data independence and physical data?
what is physical datd independence
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 .
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.
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.
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.
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.
Distinguish between logical data independence and physical data independence?
logical data : refer to the immunity of the external scheme towards changes in the conceptual scheme.physical data: refer to the immunity of the conceptual scheme towards changes in the internal scheme.
What Logical data independence and physical data independence?
Logical Data Independence : The ability to change the logical schema without changing the external schema or application programs is called as Logical Data Independence.Physical Data Independence : The ability to change the physical schema without changing the logical schema is called as Physical Data Independence.Logical Data Independence :being able to maintain change at external layer without having to make any change at the concept.Physical Data Independence : we want to be able to make any change on the conceptual level to deal without any change at the physical
Which of the two types of Data Independence Types is harder to achieve?
The ability to modify a scheme definition in one level without affecting a scheme definition in next higher level is called data independence there are two types of data independence physical data independence:- refers to the ability to modify the scheme followed at the physical level without affecting the scheme followed at logical level logical data independence:- refers to the ability to modify the conceptual scheme without affecting the schemes followed at view level logical independence is difficult to achieve
What is logical data independence and why is it important?
Logical data independence refers to the ability to make changes to the conceptual schema of a database system without affecting the external schema or applications that access the data. It is important because it allows for flexibility in adapting the database structure to evolving business requirements without disrupting existing applications or users. This separation of logical layers simplifies maintenance, enhances system scalability, and reduces the risk of data inconsistencies during schema modifications.
Does a relational model provide physical and logical data independence?
Since a user can define a views, logical data independence can achieved by using view definition to hide changes in the conceptual schema. since the sql user has no knowledge of how the data is physically represented, relying solely on the relation abstraction for querying, physical data independence is also achieved.
