Spatio-Temporal Retrieval with RasDaMan

RasDaMan
Peter Baumann, baumann@active-knowledge.de

Abstract

Database support for multidimensional arrays is an area of growing importance; a variety of high-volume applications such as spatio-temporal data management and statistics/OLAP become focus of academic and market interest.

RasDaMan is a domain-independent array database management system with server-based query optimization and evaluation. The system is fully operational and being used in international projects. We will demonstrate spatio-temporal retrieval using the rView visual query client. Examples will encompass 1-D time series, 2-D images, 3-D and 4-D voxel data. The real-life data sets used stem from life sciences, geo sciences, numerical simulation, and climate research.

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