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great work! When it comes to batched computations, why not leverage intermediate state much like streaming jobs. For example, if we need to calculate past 30 day sum for a value daily - it seems like this would compute so from scratch daily. Would it not make sense to model this as a sliding window that's updated daily?

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We do this for training data generation already.

We have plans to implement this behavior for computing the batch arm of feature serving.

can you point to documentation/ examples which talk about it - I could not find this while exploring the pages (or maybe I missed it altogether).

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