Data engineering best practices

Starting this thread to discuss Data engineering best practices incorporating Streamlit. @andfanilo has experience using Prefect, and @randyzwitch has some ideas on best practice

It’s definitely an interesting question I’ll be interested to see evolve, meaning, what are some good ways to split the responsibility between Streamlit as a presentation layer vs heavier lifting in data engineering tools

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