On Improving User Response Times in Tableau

Pawel Terlecki, Fei Xu, Marianne Shaw, Valeri Kim, Richard Wesley
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
The rapid increase in data volumes and complexity of applied analytical tasks poses a big challenge for visualization solutions. It is important to keep the experience highly interactive, so that users stay engaged and can perform insightful data exploration. Query processing usually dominates the cost of visualization generation. Therefore, in order to achieve acceptable response times, one needs to utilize backend capabilities to the fullest and apply techniques, such as caching or
more » ... . In this paper we discuss key data processing components in Tableau: the query processor, query caches, Tableau Data Engine [1, 2] and Data Server. Furthermore, we cover recent performance improvements related to the number and quality of remote queries, broader reuse of cached data, and application of inter and intra query parallelism.
doi:10.1145/2723372.2742799 dblp:conf/sigmod/TerleckiXSKW15 fatcat:vd6xnnluavf6hlud5gullo2hgu