Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards

Jia Yu, Kanchan Chowdhury, Mohamed Sarwat

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this paper, we demonstrate Tabula, a middleware that sits between the data system and the geospatial visualization dashboard to increase user interactivity. The proposed system adopts a sampling cube approach that stores pre-materialized spatial samples and allows data scientists to define their own accuracy loss function such that the produced samples can be used for various user-defined visualization tasks. The system ensures that the difference between the sample fed into the dashboard and the raw query answer never exceeds the user-specified loss threshold. For demonstration purposes, we connect Apache Zeppelin, a visualization dashboard, to the system and show how Tabula accelerates interactive visualizations on NYC Taxi Trip data, Yelp review data and San Diego Smart Streetlights data.

Original languageEnglish (US)
Pages (from-to)2925-2928
Number of pages4
JournalProceedings of the VLDB Endowment
Volume13
Issue number12
DOIs
StatePublished - 2020
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • General Computer Science

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