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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.
Scala is improving rapidly. This session will give you the perspective of someone in the middle of these changes.
A short case study of a real production issue that was debugged, minimized, and fixed using property-based testing.
We will look into three less-understood, yet (arguably) extremely useful constructs introduced in Cats Effect 3: Dispatcher, Supervisor, IOLocal
