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Data Redundancy

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Submitted By jellybean14
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Can a database contain two identical records without a negative effect on the integrity of the database? Why or why not?
Data redundancy is a situation that occurs within database systems and involves the unintentional creation of duplicated data that is not necessary to the function of the database. While redundancy is often a desirable trait in some situations, this is not true when it comes to the function of a database. The presence of duplicated data can often have an adverse effect on the function of the system, resulting in returning information in response to system queries that is less than helpful. One of the key functions of data management identification of duplicated data and the removal of those duplications (Tatum, 2015).
The potential for data redundancy is found in just about any type of database program. Programs that are considered flat, such as spreadsheets, and rely on manual entry of data are particularly susceptible to the duplication of information that may lead to complications when it comes to retrieving the information desired. Relational style databases, such as sales contact databases, often include processes that help to minimize the chances for unintentional duplication, such as the creation of two different contact files on the same contact associated with the same company. Even with the use of system checks to help reduce the incidence of data redundancy, there is still the potential for issues to occur, making it necessary to periodically engage in the task of data cleanup within a database (Tatum, 2015).
At best, data redundancy means that the database is littered with information that is not essential but poses no real threat to the ability to find the data when and as needed. At worst, the presence of the duplicated data slows down the essential functions of the database and can complicate the process of using the database to

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