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Data management projects at Google

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S. MuthukrishnanAuthors Info & Claims

ACM SIGMOD Record, Volume 37, Issue 1

Pages 34 - 38

https://doi.org/10.1145/1374780.1374789

Published: 01 March 2008 Publication History

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Abstract

This article describes some of the ongoing research projects related to structured data management at Google today. The organization of Google encourages research scientists to work closely with engineering teams. As a result, the research projects tend to be motivated by real needs faced by Google's products and services, and solutions are put into production and tested rapidly. In addition, because of the sheer scale at which Google operates, the engineering challenges faced by Google's services often require research innovations.

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Published In

ACM SIGMOD Record Volume 37, Issue 1

March 2008

61 pages

ISSN:0163-5808

DOI:10.1145/1374780

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Association for Computing Machinery

New York, NY, United States

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Published: 01 March 2008

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Chou CShie CChang FChang JChang EVrochidis SHuet BChang EKompatsiaris I(2019)Representation Learning on Large and Small DataBig Data Analytics for Large‐Scale Multimedia Search10.1002/9781119376996.ch1(1-28)Online publication date: 15-Mar-2019
Tian HYu MWang W(2018)ContinuumProceedings of the ACM Symposium on Cloud Computing10.1145/3267809.3267817(26-40)Online publication date: 11-Oct-2018
Hou JSun SLiu RLi JZhang M(2018)Design and achievement of cloud geodatabase for a sponge city海绵城市云空间数据库设计与实现Journal of Central South University10.1007/s11771-018-3926-125:10(2423-2437)Online publication date: 12-Nov-2018
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Dragut EMeng WYu C(2012)Deep Web Query Interface Understanding and IntegrationSynthesis Lectures on Data Management10.2200/S00419ED1V01Y201205DTM0264:4(1-168)Online publication date: 14-Jun-2012
Nguyen TBimonte Sd'Orazio LDarmont J(2012)Cost models for view materialization in the cloudProceedings of the 2012 Joint EDBT/ICDT Workshops10.1145/2320765.2320788(47-54)Online publication date: 30-Mar-2012
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Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

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