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QuiViz is a visualization tool that helps database developers explore and understand query execution and data movement in a distributed database management system. QuiViz provides quick insight into common problems such as data skew or performance bottleneck by leveraging visualization techniques to present: (1) data flow between query operators and between workers, (2) query execution and operator dependencies, (3) cluster utilization, (4) network utilization. In particular, QuiViz is built to inspect query execution in Myria, a distributed big data management system currently being developed in the UW CSE database group. Myria aims towards building a distributed database platform to provide \emph{big data management and analytics as a service} primarily for scientific applications. The proposed visualizations can easily be applied to other DDBMS as well (e.g. Spark, Hadoop).
