Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation
Databases
2021-04-21 v2
Abstract
Current open source applications which allow for cross-platform data visualization of OLAP cubes feature issues of high overhead and inconsistency due to data oversimplification. To improve upon this issue, there is a need to cut down the number of pipelines that the data must travel between for these aggregation operations and create a single, unified application which performs efficiently without sacrificing data, and allows for ease of usability and extension.
Keywords
Cite
@article{arxiv.2101.00171,
title = {Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation},
author = {Daniel Szelogowski},
journal= {arXiv preprint arXiv:2101.00171},
year = {2021}
}
Comments
12 pages, 2 figures, 3 tables Update: Revised format to align closer to IEEE standards