A typical advice before any production deployments is backup the DB first. This way, if the new update has some issue that can lead to potential data loss or logical data corruption, then you still have a backup to compare and correct old records.
However, this can work well till DB size is in few GBs. Once the DB size is huge, backups take a long time complete. What are some best practices that should be followed in such situations, so as to avoid logical data corruption because of logical issues in a code deployment?
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