This document discusses developing an advanced visualization tool for Flink and Spark jobs that provides insight into data characteristics and the physical execution plan. It aims to help developers detect issues, understand distributed systems, and guide testing of adaptive partitioning techniques. The tool enhances existing metrics and APIs to visualize input/output patterns and physical tasks/subtasks. Future plans include public beta release and integrating dynamic repartitioning to mitigate data skew.