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I'm curious about the relative experience you're talking from.

You're trying to make a point about the fact that you need to push the business and/or obtain data yourself, but I'm saying that can be a vastly more difficult problem than you think (or just flat impossible) at scale.



Why single data scientist should be responsible for obtaining data from 2000 stores? Data at scale requires people at scale. Data engineers would do this job.




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