Traditional platforms from the Hadoop era often create operational bottlenecks: static clusters waste a significant amount of resources; tight service coupling means a single upgrade can trigger cascading failures; and rigid architectures significantly slow down iteration speeds. As data workloads continue to evolve—shifting from batch BI to...