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Is There a Decentralized Workflow?
Data science work flows run in tight conjunction with data engineering work flow. A centralized system needs to take care of this seemingly simple task, which is set. And then there's a triggering mechanism that automatically, whenever the data operates, then like triggers the ml up dateas well. So you have another piece that takes those results and pushes them to something else. It can be really useful if you want to use these things in production.