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In non-database systems each application has its own private files. This can often lead to redundancy in stored data, with resultant waste in storage space. In a database the data is integrated. The database may be thought of as a unification of several otherwise distinct data files, with any redundancy among those files partially or wholly eliminated. Data integration is generally regarded as an important characteristic of a database. The avoidance of redundancy should be an aim, however, the vigour with which this aim should be pursued is open to question. Redundancy is * direct if a value is a copy of another * indirect if the value can be derived from other values: ** simplifies retrieval but complicates update ** conversely integration makes retrieval slow and updates easier * Data redundancy can lead to inconsistency in the database unless controlled. * the system should be aware of any data duplication - the system is responsible for ensuring updates are carried out correctly. * a DB with uncontrolled redundancy can be in an inconsistent state - it can supply incorrect or conflicting information * a given fact represented by a single entry cannot result in inconsistency - few systems are capable of propagating updates i.e. most systems do not support controlled redundancy.

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Q: What is Controlled redundancy in a database?
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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.


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