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Google fusion tables: web-centered data management and collaboration

Published: 06 June 2010 Publication History

Abstract

It has long been observed that database management systems focus on traditional business applications, and that few people use a database management system outside their workplace. Many have wondered what it will take to enable the use of data management technology by a broader class of users and for a much wider range of applications.
Google Fusion Tables represents an initial answer to the question of how data management functionality that focused on enabling new users and applications would look in today's computing environment. This paper characterizes such users and applications and highlights the resulting principles, such as seamless Web integration, emphasis on ease of use, and incentives for data sharing, that underlie the design of Fusion Tables. We describe key novel features, such as the support for data acquisition, collaboration, visualization, and web-publishing.

References

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M. J. Cafarella, A. Halevy, Y. Zhang, D. Z. Wang, and E. Wu. WebTables: Exploring the Power of Tables on the Web. In VLDB, 2008.
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Google Brings Water Data to Life. http://www.circleofblue.org/waternews/2009/world/google-brings-water-data-to-life/.
[3]
M. Franklin, A. Y. Halevy, and D. Maier. From databases to dataspaces: a new abstraction for information management. In SIGMOD Record, 2005.
[4]
H. Gonzalez, A. Halevy, C. Jensen, A. Langen, J. Madhavan, R. Shapley, and W. Shen. Google fusion tables: Data management, integration and collaboration in the cloud. In SOCC, 2010.
[5]
H. V. Jagadish, A. Chapman, A. Elkiss, M. Jayapandian, Y. Li, A. Nandi, and C. Yu. Making database systems usable. In SIGMOD, 2007.
[6]
MTBGuru tracks as seen through Google Fusion Tables. http://blog.mtbguru.com/2010/02/24/mtbguru-tracks-as-seen-through-google-fusion-tables/.
[7]
B. Shneiderman. Extreme visualization: squeezing a billion records into a million pixels. In SIGMOD, 2008.
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F. B. Viégas and M. Wattenberg. Transforming data access through public visualization. In SIGMOD, 2009.

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cover image ACM Conferences
SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
June 2010
1286 pages
ISBN:9781450300322
DOI:10.1145/1807167
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

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Publication History

Published: 06 June 2010

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Author Tags

  1. cloud services
  2. collaboration
  3. visualization

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SIGMOD/PODS '10
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SIGMOD/PODS '10: International Conference on Management of Data
June 6 - 10, 2010
Indiana, Indianapolis, USA

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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  • (2021)Non-Communicable Diseases and Social Media: A Heart Disease Symptoms ApplicationJournal of Information & Knowledge Management10.1142/S021964922150043X20:04Online publication date: 30-Aug-2021
  • (2021)A Survey on Data Collection for Machine Learning: A Big Data - AI Integration PerspectiveIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.294616233:4(1328-1347)Online publication date: 1-Apr-2021
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