Report from the 2nd Workshop on Extremely Large Databases

Data Science Journal

Jacek Becla¹  Kian-Tat Lim¹ 

[1] SLAC National Accelerator Laboratory

关键词: Analytics;    Database;    Petascale;    Exascale;    Very large databases;    Extremely large databases;   

DOI  :  10.2481/dsj.7.196

学科分类：计算机科学（综合）

来源: Ubiquity Press Ltd.

【 摘 要 】

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.

【 授权许可】

Unknown