Database management system data independence
Basic DBMS concepts
Data independ
- The information is held and handled using DBMS.
It is a type of programme that is also known as a framework for database management.
It is used for data collection and keeps the data that can be used for future goals.
With the assistance of eliminating redundant data, it intends to attain data independence.
Data independence in DBMS refers to the capacity to change the schema (structure) of the database without affecting the application programs or user views that access the data. It is a fundamental concept that simplifies database maintenance and enhances flexibility.
Types of Data Independence
In DBMS there are two types of data independence 1. Physical data independence 2. Logical data independence Levels of Database
Before we learn Data Independence, a refresher on Database Levels is important. The database has 3 levels as shown in the diagram below 1 Physical Data Independence
Physical data independence helps you to separate conceptual levels from the internal/physical levels Logical Data Independence
Logical Data Independence is the ability to change the conceptual scheme without changing 1. External views 2 Importance of Data Independence
1. Helps you to improve the quality of the data
2 Summary
1. Data Independence is the property of DBMS that helps you to change th…
2 How to achieve data independence?
To achieve Data Independence, the first step is to ensure Data Abstraction
Data Abstraction can be defined as extracting the necessary data by ignoring the remaining irrelevant details
If we take the example of a real-world entity, ATM is one of the best examples of data abstraction
What are the disadvantages of data independence in database management systems?
While data independence offers many advantages in database management systems, it's essential to consider its potential disadvantages and limitations: Complexity: Maintaining multiple levels of schema (external, conceptual, and internal) to achieve data independence can introduce complexity into the database system
What is data independence in DBMS?
Data Independence is the 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
Two levels of data independence are 1) Physical and 2) Logical Physical data independence helps you to separate conceptual levels from the internal/physical levels
Data independence is the type of data transparency that matters for a centralized DBMS. It refers to the immunity of user applications to changes made in the definition and organization of data. Application programs should not, ideally, be exposed to details of data representation and storage.
Data Access Language for the Macintosh, or simply DAL, was a SQL-like language and application programming interface released by Apple Computer in 1990 to provide unified client/server access to database management systems.
It was known for poor performance and high costs, something Apple did little to address over its short lifetime, before it was sold off in 1994.
DAL is used as the native SQL dialect of the PrimeBase SQL server, as well as the now-defunct Butler SQL.
