What does redundancy in data storage systems primarily aim to provide?

Redundancy in data storage systems primarily aims to enhance data recovery. This approach involves implementing multiple copies or variations of data across different storage devices or locations. By having redundant data, organizations can ensure that if one storage component fails or becomes corrupted, the information can still be accessed from another source. This reduces the risk of data loss and increases the reliability of the data storage system.

For instance, common methods of achieving redundancy include RAID configurations, where data is distributed across multiple disks, and backup solutions that create copies of data in different physical or cloud locations. The focus of redundancy is on safeguarding data integrity and availability, which is crucial in maintaining business continuity and minimizing downtime in the event of hardware failures or disasters.