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		07-20-2020
	
		
		08:04 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Thanks  Yes, I came across this kafka-backup when doing searches around this area. But I was hoping that maybe there would have been support from Cloudera itself, as a vendor that wraps Kafka with value-added-services.     Regarding granularity, I meant that if I took a backup every six hours, I would presumably be able to return to point-of-time only at that granularity, e.g. to state at 13:00, 19:00, 01:00, 07:00, etc. Unless the backup capability included a continuous log that allowed fine-grained return to point of time. 
						
					
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		07-19-2020
	
		
		06:38 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Newbie question, apologies. We have a need to backup a Kafka cluster, so that we can restore to a given point in time (as far as possible according to backup granularity) in case of problems, e.g. bad data. Replication would not help here, since bad data could be replicated.  Does anyone out there have such a use case, and did you solve it (with Cloudera or open-source tools)?  Thanks in advance. 
						
					
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