Data redundancy refers to the duplication of data within a database or system. It occurs when the same piece of information is stored multiple times in different locations.Data redundancy can be intentional or unintentional. Intentional redundancy is sometimes used to improve data availability and performance. Unintentional redundancy, on the other hand, is typically a result of poor database design or data management practices.Importance of data redundancy:Data integrity: Redundancy can help ensure data integrity by providing backup copies of important information. If one copy of the data becomes corrupted or lost, the redundant copies can be used to restore the original data.Data availability: Redundancy can improve data availability by reducing the risk of data loss. If one copy of the data becomes unavailable due to hardware failure or other issues, the redundant copies can be used to access the information.Performance improvement: In some cases, redundancy can improve system performance by allowing data to be stored closer to where it is needed. This can reduce the time and resources required to access and retrieve the data.Fault tolerance: Redundancy can enhance fault tolerance by providing backup copies of data. If one copy of the data becomes inaccessible or corrupted, the redundant copies can be used to maintain system functionality.