Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data

TL;DR

This paper explores how leveraging concurrency and cross-language programming can enhance data cube visualization systems on web and mobile platforms, aiming to improve performance and reduce data oversimplification errors.

Contribution

It introduces a novel approach combining concurrency and multi-language support to improve data cube visualization performance and accuracy on diverse platforms.

Findings

Improved system performance through concurrency

Enhanced data safety with multi-language integration

Reduced data oversimplification errors

Abstract

With web and mobile platforms becoming more prominent devices utilized in data analysis, there are currently few systems which are not without flaw. In order to increase the performance of these systems and decrease errors of data oversimplification, we seek to understand how other programming languages can be used across these platforms which provide data and type safety, as well as utilizing concurrency to perform complex data manipulation tasks.