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      Towards interactive data exploration

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      Author(s)
      Binnig, C.
      Basık, Fuat
      Buratti, B.
      Çetintemel, U.
      Chung, Y.
      Crotty, A.
      Cousins, C.
      Ebert, D.
      Eichmann, P.
      Galakatos, A.
      Hattasch, B.
      Ilkhechi, A.
      Kraska, T.
      Shang, Z.
      Tromba, I.
      Usta, Arif
      Utama, P.
      Upfal, E.
      Wang, L.
      Weir, N.
      Zeleznik, R.
      Zgraggen, E.
      Editor
      Castellanos, M.
      Chrysanthis, P.
      Pelechrinis, K.
      Date
      2019
      Source Title
      Lecture Notes in Business Information Processing
      Print ISSN
      1865-1348
      Publisher
      Springer
      Volume
      337
      Pages
      177 - 190
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      290
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      Book Title
      Real-time business intelligence and analytics
      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.
      Keywords
      Big data
      Interactive data exploration
      Interactive visualization
      IDEA
      Interactive machine learning
      Data analytics
      Permalink
      http://hdl.handle.net/11693/53434
      Published Version (Please cite this version)
      https://dx.doi.org/10.1007/978-3-030-24124-7_11
      https://doi.org/10.1007/978-3-030-24124-7
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