What is data independence and why is it important?
Table of Contents
What is data independence and why is it important?
Data Independence is defined as a property of DBMS that helps you to change the Database schema at one level of a database system without requiring to change the schema at the next higher level. Data independence helps you to keep data separated from all programs that make use of it.
What is the physical independence of data and program?
Physical Data Independence : Physical Data Independence is defined as the ability to make changes in the structure of the lowest level of the Database Management System (DBMS) without affecting the higher-level schemas.
What is the difference between program data independence and logical data independence?
The physical data independence is basically used to separate conceptual levels from the internal/physical levels….Difference between Physical and Logical Data Independence :
| Physical Data Independence | Logical Data Independence |
|---|---|
| It is easy to retrieve. | It is difficult to retrieve because the data is mainly dependent on the logical structure of data. |
What is data independence and data abstraction?
Database systems comprise complex data-structures. In order to make the system efficient in terms of retrieval of data, and reduce complexity in terms of usability of users, developers use abstraction i.e. hide irrelevant details from the users. It tells us how the data is actually stored in memory.
Which of the following characteristics allows program data independence?
Data Abstraction: A data model is used to hide storage details and present the users with a conceptual view of the database. In other words, this allows the program data independence and program operation independence.
What is data independence and explain its types?
Data independence is the type of data transparency that matters for a centralized DBMS. There are two types of data independence: physical and logical data independence. The data independence and operation independence together gives the feature of data abstraction. There are two levels of data independence.
https://www.youtube.com/watch?v=KQKHzsypxh4