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Impressum

04.06.2014
Juan Soto

04.06.2014: Demo-Paper "Faster Visual Analytics through Pixel-Perfect Aggregation" accepted at VLDB 2014 Conference in Hangzhou, China.

The demo-paper is authored by Uwe Jugel, Zbigniew Jerzak, Gregeor Hackenbroich (SAP AG) and Volker Markl (TU Berlin).

Abstract:
State of the art visual data analysis tools ignore bandwidthlimitations. They fetch millions of records of high-volume time series data from an underlying RDBMS to eventually draw only a few thousand pixels on the screen.
In this work, we demonstrate a pixel-aware big data visualization system { based on SAP umira { that dynamically adapts the number of data points transmitted and thus the data rate, while preserving pixel-perfect visualizations. We show how to carefully select the data points to fetch for each pixel of a visualization, using a visualization-driven data aggregation that models the visualization process. De ning all required data reduction operators at the query level, our system trades o a few milliseconds of query execution time for dozens of seconds of data transfer time. The results are signi cantly reduced response times and a near real-time visualization of millions of data points.
Using our enhanced, pixel-aware Lumira, the audience will be able to enjoy the speed and ease of big data visualizations and learn about the scienti c background of our system through an interactive evaluation component, allowing the visitor to measure, visualize, and compare competing visualization-related data reduction techniques.