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A logical unit of data is a virtual representation of data while a physical unit of data is the actual storage of data on a physical device. The logical unit of data is how data is organized and manipulated from a software perspective, while the physical unit of data is how data is stored on hardware such as disks or memory.
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What separates the physical aspects of data storage from the logical aspects of data representation?
A schema separates the physical aspect of data storagefrom the logical aspects of data representation.
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.
Show the difference bw 3-levels of data abstraction in DBMS?
The three levels of data abstraction in a DBMS are physical, logical, and view. Physical level: Describes how data is stored in the database, including details like data storage and access paths. Logical level: Focuses on the structure of the data in the database, including schemas, tables, and relationships. View level: Represents how users view the data, providing a customized and simplified representation of the data to different user groups.
2.5 What is the difference between logical data independence and physical data independence?
The logical data independence is the ability to modify a logical schema without making external view or application program change. The physical data independence is the ability to modify a physical schema without making external view or application prrogram change.
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 separates the physical aspect of data storage from the logical aspects of data representation?
A schema separates the physical aspect of data storagefrom the logical aspects of data representation.
What is logical file?
Logical file is a type of file that provides a view of the data stored into the Physical file. It does not contain data. A logical file contains only an index to the data stored into the physical file.
Difference between physical and logical DFD?
difference between physical and logical data flow diagrams.
What separates the physical aspects of data storage from the logical aspects of data representation?
A schema separates the physical aspect of data storagefrom the logical aspects of data representation.
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 difference between logical and physical design?
Logical design refers to the abstract representation of the data and the relationships among data elements, focusing on how data is organized and accessed without considering the physical storage details. In contrast, physical design involves the actual implementation of the logical design, specifying how data will be stored on hardware, including file structures, indexing methods, and data storage formats. Essentially, logical design is about "what" data is needed and "how" it relates, while physical design deals with "where" and "how" that data is physically stored and retrieved.
What is physical data structure and logical data structure?
Physical data structure: This is the physical equipment involved in the network eg router, cabling etc). Logical data structure: This is how the information flows internally and externally (the transfer of information from one node to another on the network).
What is the difference between a logical view and a physical view of data?
The logical view presents data as they would be perceived by end users or business specialists, whereas the physical view shows how data are actually organized and structured on physical storage media.
What kind of memory address does a CPU generate?
- An MMU (memory management unit) generates physical address. - A CPU (central processing unit) generates a logical address.
What is the fundamental difference between logical and physical data structures?
1) Logical data structures are structures that emphasize on data relationships and how data is related from the view of the user. 2) Physical data structures are data models that emphasize on the use of efficiently and effectively storing data in memory.
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.
