Orchestrating Machine Learning Applications
The Data Exchange with Ben Lorica
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Workflow Engines
Work flow has a few key components. There's a scheduler, there's an executor and some sort of mada data store to kind of keep track of things. The scedular afant set schedules on overflows. The carrun on some cadence. They can run as a response of henow some external events. And they can trig external events, which, you know, helps when you are yact like some deta and some complex data processing.
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