Towards interactive data exploration

Date
2019
Advisor
Instructor
Source Title
Lecture Notes in Business Information Processing
Print ISSN
1865-1348
Electronic ISSN
Publisher
Springer
Volume
337
Issue
Pages
177 - 190
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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 outline the challenges and opportunities of building a system specifically designed for interactive data exploration. Furthermore, we present the results of building IDEA, a new type of system for interactive data exploration that is specifically designed to integrate seamlessly with existing data management landscapes and allow users to explore their data instantly without expensive data preparation costs. Finally, we discuss other important considerations for interactive data exploration systems including benchmarking, natural language interfaces, as well as interactive machine learning.

Course
Other identifiers
Book Title
Real-time business intelligence and analytics
Keywords
Big data, Interactive data exploration, Interactive visualization, IDEA, Interactive machine learning, Data analytics
Citation