Year: 2010
Type: article
Abstract: 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. Both the database and the map/reduce communities worldwide are working on addressing these issues. The 3rdExtremely Large Databases workshop was organized to examine the needs of scientific communities beginning to face these issues, to reach out to European communities working on extremely large scale data challenges, and to brainstorm possible solutions. The science benchmark that emerged from the 2nd workshop in this series was also debated. This paper is the final report of the discussions and activities at this workshop.
Source: Data Science Journal
DOI: 10.2481/dsj.xldb09
Authors: Jacek Becla, Kian-Tat Lim, Daniel Liwei Wang
Institution: SLAC National Accelerator Laboratory
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $429
OpenAlex ID: W4239529185