When Hadoop is considered a critical solution, disaster recovery and backup need careful, thorough, and supervised planning. However, setting up a recovery plan can be complicated and confusing. Let's walk through some of the confusions and key considerations to be taken care of. As one rotten apple spoils the other apples, one corrupt copy will eventually spread out in the system and ultimately, decrease the chances of disaster recovery. This is the penultimate principle of disaster recovery.
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As long as an error doesn't bound to or corrupt good data, you can secure whatever went amiss in your system.
Backup versus recovery: Their purpose may sound similar, but there is a wide difference between them: backup is one of the strategies of protecting data assets to safeguard the data; safeguarding the data is just a part of the disaster recovery process. In our context, we don't have the option of replacement. There is either redundant data...