The case for Interactive Data Exploration Accelerators (IDEAs)

Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

Abstract

Enabling interactive visualization over new datasets at "human speed" is key to democratizing data science and maximizing human productivity. In this work, we first argue why existing analytics infrastructures do not support interactive data exploration and then outline the challenges and opportunities of building a system specifically designed for interactive data exploration. Finally, we present an Interactive Data Exploration Accelerator (IDEA), a new type of system for interactive data exploration that is specifically designed to integrate with existing data management landscapes and allow users to explore their data instantly without expensive data preparation costs.

Original languageEnglish (US)
Title of host publicationHILDA 2016 - Proceedings of the Workshop on Human-In-the-Loop Data Analytics
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450342070
DOIs
StatePublished - Jun 26 2016
Event1st Workshop on Human-in-the-Loop Data Analytics, HILDA 2016 - San Francisco, United States
Duration: Jun 26 2016 → …

Publication series

NameHILDA 2016 - Proceedings of the Workshop on Human-In-the-Loop Data Analytics

Conference

Conference1st Workshop on Human-in-the-Loop Data Analytics, HILDA 2016
Country/TerritoryUnited States
CitySan Francisco
Period6/26/16 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'The case for Interactive Data Exploration Accelerators (IDEAs)'. Together they form a unique fingerprint.

Cite this