Learn how to deploy and scale Machine Learning models to 2 Million+ requests/day using MLOps best practices. In this talk, you'll learn how to go from data preparation to deployment to scaling ML models that can run at large scale - all without breaking the bank.
This talk is about how we built a real-world data pipeline in Go to migrate Gigabytes of data from MongoDB to PostgreSQL in a streaming fashion. You'll learn how to use Go's concurrency features to build and scale such a system. If you want to see Go's concurrency in action, attend this talk.
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