research-article

Support the data enthusiast: challenges for next-generation data-analysis systems

Authors:

Magdalena Balazinska,

Jock MackinlayAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 7, Issue 6

Pages 453 - 456

https://doi.org/10.14778/2732279.2732282

Published: 01 February 2014 Publication History

Abstract

We present a vision of next-generation visual analytics services. We argue that these services should have three related capabilities: support visual and interactive data exploration as they do today, but also suggest relevant data to enrich visualizations, and facilitate the integration and cleaning of that data. Most importantly, they should provide all these capabilities seamlessly in the context of an uninterrupted data analysis cycle. We present the challenges and opportunities in building next-generation visual analytics services.

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Cited By

Kim HLe KLim GKim DHong YKim J(2024)DataDive: Supporting Readers' Contextualization of Statistical Statements with Data ExplorationProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645155(623-639)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645155
Passlick JGrützner LSchulz MBreitner M(2023)Self-service business intelligence and analytics application scenarios: A taxonomy for differentiationInformation Systems and e-Business Management10.1007/s10257-022-00574-321:1(159-191)Online publication date: 5-Feb-2023
https://dl.acm.org/doi/10.1007/s10257-022-00574-3
Ge CIlyas IKerschbaum F(2019)Secure multi-party functional dependency discoveryProceedings of the VLDB Endowment10.14778/3364324.336433213:2(184-196)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.14778/3364324.3364332
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Support the data enthusiast: challenges for next-generation data-analysis systems
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Information & Contributors

Information

Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 7, Issue 6

February 2014

64 pages

ISSN:2150-8097

Editors:
H. V. Jagadish
University of Michigan
,
Aoying Zhou
East Normal University, China

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VLDB Endowment

Publication History

Published: 01 February 2014

Published in PVLDB Volume 7, Issue 6

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Cited By

Kim HLe KLim GKim DHong YKim J(2024)DataDive: Supporting Readers' Contextualization of Statistical Statements with Data ExplorationProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645155(623-639)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645155
Passlick JGrützner LSchulz MBreitner M(2023)Self-service business intelligence and analytics application scenarios: A taxonomy for differentiationInformation Systems and e-Business Management10.1007/s10257-022-00574-321:1(159-191)Online publication date: 5-Feb-2023
https://dl.acm.org/doi/10.1007/s10257-022-00574-3
Ge CIlyas IKerschbaum F(2019)Secure multi-party functional dependency discoveryProceedings of the VLDB Endowment10.14778/3364324.336433213:2(184-196)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.14778/3364324.3364332
Bikakis NPapastefanatos GSkourla MSellis TDadzie APietriga E(2017)A hierarchical aggregation framework for efficient multilevel visual exploration and analysisSemantic Web10.3233/SW-1602268:1(139-179)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/SW-160226
Vartak MHuang SSiddiqui TMadden SParameswaran A(2017)Towards Visualization Recommendation SystemsACM SIGMOD Record10.1145/3092931.309293745:4(34-39)Online publication date: 11-May-2017
https://dl.acm.org/doi/10.1145/3092931.3092937
Beltran JHuang ZAbouzied ANandi APapadopoulos GKuflik TChen FDuarte CFu W(2017)Don't Just Swipe Left, Tell Me WhyProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025212(469-480)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3025171.3025212
Maccioni ABasili ETorlone RÖzcan FKoutrika GMadden S(2016)QUEPAProceedings of the 2016 International Conference on Management of Data10.1145/2882903.2899393(2133-2136)Online publication date: 26-Jun-2016
https://dl.acm.org/doi/10.1145/2882903.2899393
Godfrey PGryz JLasek P(2016)Interactive Visualization of Large Data SetsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2016.255732428:8(2142-2157)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1109/TKDE.2016.2557324
Vartak MRahman SMadden SParameswaran APolyzotis N(2015)SeeDBProceedings of the VLDB Endowment10.14778/2831360.28313718:13(2182-2193)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.14778/2831360.2831371
Buoncristiano MMecca GQuintarelli ERoveri MSantoro DTanca L(2015)Database Challenges for Exploratory ComputingACM SIGMOD Record10.1145/2814710.281471444:2(17-22)Online publication date: 12-Aug-2015
https://dl.acm.org/doi/10.1145/2814710.2814714
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