Towards Interactive Data Exploration

Carsten Binnig; Fuat Basık; Benedetto Buratti; Ugur Cetintemel; Yeounoh Chung; Andrew Crotty; Cyrus Cousins; Dylan Ebert; Philipp Eichmann; Alex Galakatos; Benjamin Hättasch; Amir Ilkhechi; Tim Kraska; Zeyuan Shang; Isabella Tromba; Arif Usta; Prasetya Utama; Eli Upfal; Linnan Wang; Nathaniel Weir; Robert Zeleznik; Emanuel Zgraggen

doi:10.1007/978-3-030-24124-7_11

Towards Interactive Data Exploration

Carsten Binnig^*, Fuat Basık, Benedetto Buratti, Ugur Cetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Utama, Eli Upfal, Linnan Wang, Nathaniel WeirRobert Zeleznik, Emanuel Zgraggen

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 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 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.

Original language	English (US)
Title of host publication	Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers
Editors	Malu Castellanos, Panos K. Chrysanthis, Konstantinos Pelechrinis
Publisher	Springer
Pages	177-190
Number of pages	14
ISBN (Print)	9783030241230
DOIs	https://doi.org/10.1007/978-3-030-24124-7_11
State	Published - 2019
Event	9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016 and 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017 held in conjunction with the International Conference on Very Large Data Bases, VLDB 2017 - Munich, Germany Duration: Aug 28 2017 → Sep 1 2017

Publication series

Name	Lecture Notes in Business Information Processing
Volume	337
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016 and 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017 held in conjunction with the International Conference on Very Large Data Bases, VLDB 2017
Country/Territory	Germany
City	Munich
Period	8/28/17 → 9/1/17

ASJC Scopus subject areas

Management Information Systems
Control and Systems Engineering
Business and International Management
Information Systems
Modeling and Simulation
Information Systems and Management

Access to Document

10.1007/978-3-030-24124-7_11

Cite this

Binnig, C., Basık, F., Buratti, B., Cetintemel, U., Chung, Y., Crotty, A., Cousins, C., Ebert, D., Eichmann, P., Galakatos, A., Hättasch, B., Ilkhechi, A., Kraska, T., Shang, Z., Tromba, I., Usta, A., Utama, P., Upfal, E., Wang, L., ... Zgraggen, E. (2019). Towards Interactive Data Exploration. In M. Castellanos, P. K. Chrysanthis, & K. Pelechrinis (Eds.), Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers (pp. 177-190). (Lecture Notes in Business Information Processing; Vol. 337). Springer. https://doi.org/10.1007/978-3-030-24124-7_11

Binnig, Carsten ; Basık, Fuat ; Buratti, Benedetto et al. / Towards Interactive Data Exploration. Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers. editor / Malu Castellanos ; Panos K. Chrysanthis ; Konstantinos Pelechrinis. Springer, 2019. pp. 177-190 (Lecture Notes in Business Information Processing).

@inproceedings{b6c20ce990304a1fb405c9997b2e6b1d,

title = "Towards Interactive Data Exploration",

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.",

author = "Carsten Binnig and Fuat Basık and Benedetto Buratti and Ugur Cetintemel and Yeounoh Chung and Andrew Crotty and Cyrus Cousins and Dylan Ebert and Philipp Eichmann and Alex Galakatos and Benjamin H{\"a}ttasch and Amir Ilkhechi and Tim Kraska and Zeyuan Shang and Isabella Tromba and Arif Usta and Prasetya Utama and Eli Upfal and Linnan Wang and Nathaniel Weir and Robert Zeleznik and Emanuel Zgraggen",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016 and 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017 held in conjunction with the International Conference on Very Large Data Bases, VLDB 2017 ; Conference date: 28-08-2017 Through 01-09-2017",

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editor = "Malu Castellanos and Chrysanthis, {Panos K.} and Konstantinos Pelechrinis",

booktitle = "Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers",

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Binnig, C, Basık, F, Buratti, B, Cetintemel, U, Chung, Y, Crotty, A, Cousins, C, Ebert, D, Eichmann, P, Galakatos, A, Hättasch, B, Ilkhechi, A, Kraska, T, Shang, Z, Tromba, I, Usta, A, Utama, P, Upfal, E, Wang, L, Weir, N, Zeleznik, R & Zgraggen, E 2019, Towards Interactive Data Exploration. in M Castellanos, PK Chrysanthis & K Pelechrinis (eds), Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers. Lecture Notes in Business Information Processing, vol. 337, Springer, pp. 177-190, 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016 and 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017 held in conjunction with the International Conference on Very Large Data Bases, VLDB 2017, Munich, Germany, 8/28/17. https://doi.org/10.1007/978-3-030-24124-7_11

Towards Interactive Data Exploration. / Binnig, Carsten; Basık, Fuat; Buratti, Benedetto et al.
Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers. ed. / Malu Castellanos; Panos K. Chrysanthis; Konstantinos Pelechrinis. Springer, 2019. p. 177-190 (Lecture Notes in Business Information Processing; Vol. 337).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Towards Interactive Data Exploration

AU - Binnig, Carsten

AU - Basık, Fuat

AU - Buratti, Benedetto

AU - Cetintemel, Ugur

AU - Chung, Yeounoh

AU - Crotty, Andrew

AU - Cousins, Cyrus

AU - Ebert, Dylan

AU - Eichmann, Philipp

AU - Galakatos, Alex

AU - Hättasch, Benjamin

AU - Ilkhechi, Amir

AU - Kraska, Tim

AU - Shang, Zeyuan

AU - Tromba, Isabella

AU - Usta, Arif

AU - Utama, Prasetya

AU - Upfal, Eli

AU - Wang, Linnan

AU - Weir, Nathaniel

AU - Zeleznik, Robert

AU - Zgraggen, Emanuel

PY - 2019

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AB - 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.

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SN - 9783030241230

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EP - 190

BT - Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers

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A2 - Chrysanthis, Panos K.

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ER -

Binnig C, Basık F, Buratti B, Cetintemel U, Chung Y, Crotty A et al. Towards Interactive Data Exploration. In Castellanos M, Chrysanthis PK, Pelechrinis K, editors, Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers. Springer. 2019. p. 177-190. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-030-24124-7_11

Towards Interactive Data Exploration

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