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Cool! But as a data engineer I don't know when I would ever use this. Getting data into a centralized place so it can be joined and queried easily is like prio 1 for any data team.

I'm sure SREs will really love me doing expensive adhoc queries against production postgres /s

I've yet to work in enterprises big enough to have multi cloud data warehouses though, maybe it's more useful in that setting?

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As a consultant data engineer (ish), I think it has potential. You're right that any company doing data analytics is gonna be prioritizing a single source of truth and a unified platform, but each one will choose a different set of tools, which I'll have to learn, install, and even teach, for each new client. If I can use this to both explore AND implement stuff for clients regardless of their underlying database, that would be a pretty significant win.

That's a great point! "Speed to insight" feels more important than ever

Isn’t it useful for when you are getting things into a central DW?

E.g, you don’t need a million tools to connect to the million different application databases when inspecting sources as part of setting up pipelines.

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