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Delayed/Offset Datamodel Acceleration

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I have a large set of data that comes in to splunk regularly but on couple days delay. It needs to be accelerated to be usable in our environment but I think If I wanted a 7 day datamodel I would need some way to tell the datamodel to start accelerating at -3d and go back 7 days from there to give the data some time to get in instead of starting now and going back 7 days as data will never be in "now".

Any thoughts / suggestions other than just making a summary index manually?

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