| Data Science Journal | |
| Report from the 4th Workshop on Extremely Large Databases | |
| Daniel Liwei Wang1  Jacek Becla1  Kian-Tat Lim1  | |
| 关键词: Analytics; Database; Petascale; Exascale; VLDB; XLDB; | |
| DOI : 10.2481/dsj.xldb10 | |
| 学科分类:计算机科学(综合) | |
| 来源: Ubiquity Press Ltd. | |
PDF
|
|
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300899944ZK.pdf | 636KB |
PDF