Incremental Recovery
Incremental Recovery is a data backup and restoration strategy where only the changes made since the last backup are saved, rather than copying the entire dataset each time. This approach reduces storage requirements, speeds up backup processes, and minimizes system downtime during recovery operations. It is commonly implemented in database management, file systems, and disaster recovery solutions to ensure efficient data protection.
Developers should learn and use Incremental Recovery when managing large datasets or systems requiring frequent backups with minimal resource overhead, such as in enterprise databases, cloud storage, or continuous deployment pipelines. It is particularly valuable for scenarios where rapid recovery from data loss or corruption is critical, as it allows restoring to specific points in time with less data transfer compared to full backups.