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Researchers' big data crisis; understanding design and functionality

Authors:

Michael Stonebraker,

Jason HongAuthors Info & Claims

Communications of the ACM, Volume 55, Issue 2

Pages 10 - 11

https://doi.org/10.1145/2076450.2076453

Published: 01 February 2012 Publication History

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Abstract

The Communications Web site, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications, we'll publish selected posts or excerpts.

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http://cacm.acm.org/blogs/blog-cacm

Michael Stonebraker issues a call to arms about research groups' data-management problems. Jason Hong discusses the nature of functionality with respect to design.

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Margara AZhou YChrysanthis PGulisano V(2022)A unifying model for distributed data-intensive systemsProceedings of the 16th ACM International Conference on Distributed and Event-Based Systems10.1145/3524860.3539782(176-179)Online publication date: 27-Jun-2022
https://dl.acm.org/doi/10.1145/3524860.3539782
Saif SDatta DSaha ABiswas SChowdhury C(2020)Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case StudyEnabling AI Applications in Data Science10.1007/978-3-030-52067-0_19(415-439)Online publication date: 24-Sep-2020
https://doi.org/10.1007/978-3-030-52067-0_19
McKinney EYoos C(2019)Information as a difference: toward a subjective theory of informationEuropean Journal of Information Systems10.1080/0960085X.2019.1581441(1-15)Online publication date: 14-Mar-2019
https://doi.org/10.1080/0960085X.2019.1581441
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Index Terms

Researchers' big data crisis; understanding design and functionality
1. Information systems
  1. Data management systems
    1. Database administration
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management
  2. Software organization and properties
    1. Contextual software domains
      1. Operating systems

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Published In

Communications of the ACM Volume 55, Issue 2

February 2012

111 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2076450

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 2012

Published in CACM Volume 55, Issue 2

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Cited By

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Margara AZhou YChrysanthis PGulisano V(2022)A unifying model for distributed data-intensive systemsProceedings of the 16th ACM International Conference on Distributed and Event-Based Systems10.1145/3524860.3539782(176-179)Online publication date: 27-Jun-2022
https://dl.acm.org/doi/10.1145/3524860.3539782
Saif SDatta DSaha ABiswas SChowdhury C(2020)Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case StudyEnabling AI Applications in Data Science10.1007/978-3-030-52067-0_19(415-439)Online publication date: 24-Sep-2020
https://doi.org/10.1007/978-3-030-52067-0_19
McKinney EYoos C(2019)Information as a difference: toward a subjective theory of informationEuropean Journal of Information Systems10.1080/0960085X.2019.1581441(1-15)Online publication date: 14-Mar-2019
https://doi.org/10.1080/0960085X.2019.1581441
Fotache MGreavu-Şerban VHrubaru ITică A(2018)Big Data Technologies on Commodity WorkstationsProceedings of the 19th International Conference on Computer Systems and Technologies10.1145/3274005.3274021(110-115)Online publication date: 13-Sep-2018
https://dl.acm.org/doi/10.1145/3274005.3274021
Shah VVaz Salles MDas GJermaine CBernstein P(2018)ReactorsProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3183752(259-274)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183713.3183752
Money WKaisler SArmour FEspinosa J(2017)Big DataInternational Journal of Systems and Service-Oriented Engineering10.4018/IJSSOE.20170401017:2(1-23)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.4018/IJSSOE.2017040101
McKinney EYoos CSnead K(2017)The need for ‘skeptical’ accountants in the era of Big DataJournal of Accounting Education10.1016/j.jaccedu.2016.12.00738(63-80)Online publication date: Mar-2017
https://doi.org/10.1016/j.jaccedu.2016.12.007
Wani MJabin S(2017)Big Data: Issues, Challenges, and Techniques in Business IntelligenceBig Data Analytics10.1007/978-981-10-6620-7_59(613-628)Online publication date: 4-Oct-2017
https://doi.org/10.1007/978-981-10-6620-7_59
Yuan LWu LYou JChi YSellis TDavidson SIves Z(2015)A Demonstration of Rubato DBProceedings of the 2015 ACM SIGMOD International Conference on Management of Data10.1145/2723372.2735380(907-912)Online publication date: 27-May-2015
https://dl.acm.org/doi/10.1145/2723372.2735380
Cuzzocrea AGaber M(2014)Data Science and Distributed IntelligenceEncyclopedia of Information Science and Technology, Third Edition10.4018/978-1-4666-5888-2.ch166(1732-1740)Online publication date: 31-Jul-2014
https://doi.org/10.4018/978-1-4666-5888-2.ch166
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Big data is 'buzzword du jour;' CS academics 'have the best job'

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Diffusion of real versus misinformation during a crisis event: A big data-driven approach

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