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Reading: Report from the 2nd Workshop on Extremely Large Databases

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Report from the 2nd Workshop on Extremely Large Databases

Authors:

Jacek Becla ,

SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, US
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Kian Tat Lim

SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, US
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Abstract

The complexity and sophistication of large scale analytics in science and industry have advanced dramatically in recent years. Analysts are struggling to use complex techniques such as time series analysis and classification algorithms because their familiar, powerful tools are not scalable and cannot effectively use scalable database systems. The 2nd Extremely Large Databases (XLDB) workshop was organized to understand these issues, examine their implications, and brainstorm possible solutions. The design of a new open source science database, SciDB that emerged from the first workshop in this series was also debated. This paper is the final report of the discussions and activities at this workshop.
DOI: http://doi.org/10.2481/dsj.7.196
How to Cite: Becla, J. & Lim, K.T., (2009). Report from the 2nd Workshop on Extremely Large Databases. Data Science Journal. 7, pp.196–208. DOI: http://doi.org/10.2481/dsj.7.196
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Published on 05 Mar 2009.
Peer Reviewed

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