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arXiv · 2101.00171

Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation

Daniel Szelogowski
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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.

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Daniel Szelogowski. 2021-01-01. Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation. https://arxiv.org/abs/2101.00171

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