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Data Protection refers to techniques to either prevent, or recover from data loss situations. Data protection techniques can be proactive - engaging continuous copy systems, performing snapshots, replication, and backups. They can also be reactive - recovering data, performing log replays, and rolling back snapshots, etc... Data protection can also mean security, and of course security is important as well when we consider holistic care of data. Good security processes will also help to prevent data loss situations, though in the security context, data loss might mean data theft as much as corruption or deletion.