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Redundancy is the state where duplicate rows of the same data is available in a database.

Lets say we have an employee database which contains 2 rows of the following data

Emp num Emp Name Age

12345 John 25

12345 John 25

This is data redundancy.

Data redundancy can be avoided by the use of keys in tables. If in the employee table we had defined a primary key condition for employee number, then the system would not allow us to enter 2 rows of the same data.

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15y ago
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2d ago

Redundancy control in databases involves minimizing duplicate data storage to improve efficiency and reduce potential inconsistencies. Techniques such as normalization, using primary keys, and enforcing constraints like unique constraints help prevent redundancy by structuring and managing data effectively. Eliminating redundancy can enhance data integrity, improve query performance, and simplify data maintenance in database systems.

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What is the difference between controlled redundancy and uncontrolled redundancy?

Controlled redundancy refers to intentionally duplicating certain components in a system to ensure reliability and fault tolerance, whereas uncontrolled redundancy occurs unintentionally due to inefficient processes or lack of coordination. Controlled redundancy is planned and managed to enhance system performance, while uncontrolled redundancy can lead to inefficiencies and waste of resources.


What is data redundancy?

Data redundancy refers to the unnecessary duplication of data in a database or system. It can cause inefficiencies, make updates more difficult, and increase storage requirements. Data redundancy can be minimized through normalization techniques in database design.


What is data redundancy and which characteristics of the file system can lead to it?

Data redundancy refers to repetitive data in the database. In a system with redundant data it is difficult to manage the relationships. Data redundancy is the result of poorly designed database. By implying proper constraints on the data it can be prevented.


What are the types of redundancy?

There are three main types of redundancy: hardware redundancy, software redundancy, and information redundancy. Hardware redundancy involves duplicating components to ensure continued operation in case of failure. Software redundancy involves using multiple software modules to perform the same function for fault tolerance. Information redundancy involves storing multiple copies of the same information for backup purposes.


What is the difference between redundancy and duplication?

Redundancy refers to the inclusion of extra components to ensure system reliability, while duplication involves creating an exact copy of something. Redundancy can help prevent system failure by providing backup options, while duplication involves replicating data or information for various purposes.

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