期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2012
卷号：35
期号：3
出版社：IEEE Computer Society
摘要：The domain of Visual Analytics has emerged with a charter to support interactive exploration and anal-ysis of large volumes of (often dynamic) data. A common feature shared by all the visual analyticsapplications developed so far is the reliance on ad-hoc and custom-built mechanisms to manage data:they re-implement their own in-memory databases to support real-time display and interactive feedbackand analytical algorithms (e. g., clustering, multidimensional projections, specific data analyses) toovercome the delay required to exchange data with specialized analytical environments, such as Mat-lab, R, and the myriad of more specialized systems and command-line programs. This article presentsvisual analytics scenarios requiring a new generation of databases to support and foster the new era ofinteractive analytical environments. This new generation would relieve visualization researchers fromsub-optimally re-implementing database technologies. We argue that the new services required to sup-port interactive explorations present research challenges to the database community and can increasethe utility and simplicity of integration of the new generation of databases for data-intensive applica-tions
