Report from the 4th Workshop on Extremely Large Databases | Zendy

Jacek Becla | Zendy; Kian-Tat Lim | Zendy; Daniel Liwei Wang | Zendy

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Report from the 4th Workshop on Extremely Large Databases

Author(s) -

Jacek Becla,

Kian-Tat Lim,

Daniel Liwei Wang

Publication year - 2010

Publication title -

data science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.358

H-Index - 21

ISSN - 1683-1470

DOI - 10.2481/dsj.xldb10

Subject(s) - scope (computer science) , computer science , usability , transparency (behavior) , metadata , implementation , reuse , open data , data science , world wide web , database , software engineering , engineering , computer security , human–computer interaction , programming language , waste management

Academic and industrial users are increasingly facing the challenge of petabytes of data, but managing and analyzing such large data sets still remains a daunting task. The 4th Extremely Large Databases workshop was organized to examine the needs of communities under-represented at the past workshops facing these issues. Approaches to big data statistical analytics as well as emerging opportunities related to emerging hardware technologies were also debated. Writable extreme scale databases and the science benchmark were discussed. This paper is the final report of the discussions and activities at this workshop

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