Modern database management systems (DBMS) have been designed to efficiently store, manage and perform computations on massive amounts of data. In contrast, many existing visualization systems do not scale seamlessly from small data sets to enormous ones. We have designed a three-tiered visualization system called ScalaR to deal with this issue. ScalaR dynamically performs resolution reduction when... read morethe expected result of a DBMS query is too large to be effectively rendered on existing screen real estate. Instead of running the original query, ScalaR inserts aggregation, sampling or filtering operations to reduce the size of the result. This paper presents the design and implementation of ScalaR, and shows results for an example application, displaying satellite imagery data stored in SciDB as the back-end DBMS. Accompanying paper available in the TDL and from IEEE at doi:10.1109/BigData.2013.6691708.read less
Battle, Leilani, Michael Stonebraker, and Remco Chang. "Dynamic Reduction of Query Result Sets for Interactive Visualizaton." Presentation at 2013 IEEE International Conference on Big Data, Santa Clara, CA, October 6-9, 2013.