Spatio-Temporal Retrieval with RasDaMan

Peter Baumann, Andreas Dehmel, Paula Furtado, Roland Ritsch, Norbert Widmann
1999 Very Large Data Bases Conference  
Database support for multidimensional arrays is an area of growing importance; a variety of highvolume 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.
more » ... amples 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.
dblp:conf/vldb/BaumannDFRW99 fatcat:irn2akpwknav3gnsaxwuo2nr24