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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.
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What was the term data independence mean and why is it important goal?
means data is not dependent on the other data. why? because it makes easier for you
How are a hypothesis and data related?
The hypothesis and the Data are related because the hypothesis is what you think is going to happen, and if you're right, then that becomes the data
A collection of related data points is a .?
data series
What is a collection of related data?
database
What type of graph would be best for data points?
A scatter plot would be best for non-related data points. A line graph would be best for related data points.
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.
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.
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 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.
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.
What are the advantages and disadvantages of a hierarchical data model and network data model?
Hierarchical data model :Advantages- simplicity- data security- data integrity- efficiency- ease to add and delete recordDisadvantages- implement complexity- database management problem- lack of structural independence- programming complexity- implementation limitation- procedural access languageNetwork data model :Advantages- easy to access data- can handle more relationship types- data independence- data integrity- data independenceDisadvantages- system complexity- lack of structural independence- procedural access language
Why data independence is important?
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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.
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
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.
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.
