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How to use FreeMonad to build data pipelines for AI
I will present how to use FreeMonad to build data pipelines for AI. Will try to focus not on what FreeMonad is, but how we may take advantage of it and build readable, efficient and robust data pipelines.
The approach I present will focus on building pipelines that are build around business rules, not around Spark data frames.
Learn about opaque types and add this new tool to your modelling toolbox!
We will look into three less-understood, yet (arguably) extremely useful constructs introduced in Cats Effect 3: Dispatcher, Supervisor, IOLocal
I'll share a handful of techniques that can help you avoid runtime errors and shift them to the realm of compile time
