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John Furrier42![](https://crowdspotsimages.s3-us-west-2.amazonaws.com/profile-images/dXNlcjp0d2l0dGVyOjgzMzA3MQ.jpg)
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Q5. What does your current lifecycle look like between snapshots, archives, and longer term backups? Do you delete the data when it gets old?
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John Furrier
Who deletes data is another question? serious question?
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Sagi Brody
This is based on the governing regulatory requirements of the user and vertical. Some like #HIPAA dont have an exact de-facto standard and are up to interpretation.
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Sagi Brody
People who get billed per GB :)
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jeff dinisco
long term snaps are still pricey and don't protect against a variety of scenarios leaving traditional backup as a necessary evil in most enterprises
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Sagi Brody
I believe surveillance and body cam recordings is only going to push out the storage retention tail required..
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Bryan Champagne
Compliance and policy determine deletion. We see people struggle with actually adhering to deletion policies unless they have it automated
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Dave Vellante
I've never seen a successful, sustainable example of deleting data/reclaiming wasted space
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Chris Dagdigian
super brittle at the moment. No consistent patterns. Some scientific storage is too big for cost effective full-lifecycle mgmt so many have just 1 primary and 1 last-resort-backup-and-archive copy of their data.
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jeff dinisco
@furrier totally agree, I meet very few customers willing to push the delete button, expiration maybe, active delete, don't see it
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Nick Kirsch
Ironically, lots of machine-generated data /could/ be deleted and re-generated, but the software gets in the way.
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Sagi Brody
What about real-time stream data analytics? We are also seeing this reduce the requirement to store data because of its real time nature..
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Dave Vellante
@webairsagi love the steaming example - it's almost a new workload - batch, interactive, streaming
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Christian Smith
Common retention policies - 1 week on primary (snapshots), 3+ months on secondary. Never delete.
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Nick Kirsch
@webairsagi It seems that many of these streaming workloads will also be related to machine-learning and anything with ML will be data retention heavy...
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Dave Vellante
@webairsagi Streaming App Value Chain---Ingest->Explore->Process (Predict)->Serve-> ?Persist?
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Dave Vellante
@nkirsch I think about a smart meter stream with data that doesn't change - don't persist - vs weather data which I might persist
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Nick Kirsch
Isn't there some value in that smart meter stream? Anything with potential predictive benefit, coupled with low cost of storage, seems likely to be persisted.
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John Furrier
Brent M. Piatti @BrentPiatti said
Truth! Problem is most organizations see data storage as a cost center rather than a potential gold mine.
Truth! Problem is most organizations see data storage as a cost center rather than a potential gold mine.