interview
summary
Overview of an internal data analytics platform that already ingests user event data and generates marketing reports using Spark, with a concrete claim that iterators separate collection representation from algorithm and that understanding them improves Spark jobs. Describes using Scala and functional/reactive patterns, the platform handling editor clicks, signups and page flows, and a roadmap to scale to orders of magnitude more events and run jobs faster while adding transform and viewing features.
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