Sup. If you’re already here I don’t need to explain why you’re gonna want to use PyFlink for your MLOps but I’ll explain anyway because it owns.
Imagine this: You’re working on a machine learning project to predict stock prices. You need to predict it ASAP in order to beat the noobs on wallstreetbets. But you’re not a noob who just has a simple time series of historical stock price, no, your model takes in data from Postgres, Redis, and even has a streaming joins from other Kafka streams making it BIS.
We’re going to cover how to be an absolute pro and get fast & data resilient MLOPs.
