Understanding the Redpanda Data Transform architecture
Around 60% of stream processing is spent on mundane transformation tasks. Format unification for machine learning (ML) workloads, filtering for privacy, simple enrichments like geo-IP translations — the list goes on. To stand up something “simple” often involves three or four distributed systems, multiple nights of reading configurations, and a…