plumbing

Kedro puts emphasis on seamless transition to prod without jeopardizing work in experimentation stage: - pipeline syntax is absolutely minimal (even supporting lambdas for simple transitions), inspired by the Clojure library core.graph https://github.com/plumatic/plumbing - sequential and parallel runners are built-in (don't have to rely on Airflow) - io provides wrappers for existing familiar data sources, but directly borrows arguments from Pandas, Spark APIs so no new API to learn - flexibility in the sense you could rip out anything, for example, the whole Data Catalog replacing with another mechanism for data access like Haxl - there's a project template which serves as a framework with built-in conventions from 50+ analytics engagements