Differential Recovery
Differential recovery is a data backup and restoration strategy that involves backing up only the data that has changed since the last full backup, while still referencing the full backup as a baseline. This approach reduces storage requirements and backup time compared to full backups, but requires both the full backup and the differential backup to restore data. It is commonly used in database management, file systems, and disaster recovery plans to balance efficiency and reliability.
Developers should learn and use differential recovery when managing systems with large datasets where frequent full backups are impractical due to time or storage constraints, such as in enterprise databases or cloud storage solutions. It is particularly useful in scenarios requiring regular data protection with moderate recovery time objectives, as it simplifies restoration compared to incremental backups by needing only two backup sets (full and latest differential).