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Data will eventually end up there. Our product and business teams are heavy users of Redshift.

As mentioned in another comment I’ve found having Dynamo snapshots in Athena really useful as an oncall to sanity check snapshots (what was the state of Harry Potter 3 months ago compared to now?) and to answer product questions that can only be answered from the raw production data.

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This is the first time I've come across the approach of storing database snapshots and saving them in a data lake. Do you find those snapshots are useful/used for analytics or data science end-uses, or are they more there for debugging and answering one-off questions?

I have personally only used them for debugging one off questions. That was my original intent. We do have teams that are considering using the snapshots for ML problems.

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