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Rasdaman : ウィキペディア英語版
Rasdaman

Rasdaman ("raster data manager") is an Array DBMS, that is: a Database Management System which adds capabilities for storage and retrieval of massive multi-dimensional arrays, such as sensor, image, and statistics data. A frequently used synonym to arrays is raster data, such as in 2-D raster graphics; this actually has motivated the name ''rasdaman''. However, rasdaman has no limitation in the number of dimensions - it can serve, for example, 1-D measurement data, 2-D satellite imagery, 3-D x/y/t image time series and x/y/z exploration data, 4-D ocean and climate data, and even beyond spatio-temporal dimensions.
== History ==

In 1989, Peter Baumann started a research on database support for images, then at Fraunhofer Computer Graphics Institute. Following an in-depth investigation on raster data formalizations in imaging, in particular the AFATL Image Algebra, he established a database model for multi-dimensional arrays, including a data model and declarative query language.〔Baumann, P.: (On the Management of Multidimensional Discrete Data ). VLDB Journal 4(3)1994, Special Issue on Spatial Database Systems, pp. 401 - 444〕
At TU Munich, in the EU funded basic research project ''RasDaMan'', a first prototype was established, on top of the O2 object-oriented DBMS, and tested in Earth and Life science applications.〔http://cordis.europa.eu/result/rcn/20754_en.html〕 Over further EU funded projects, this system was completed and extended to support relational DBMSs.
A dedicated research spin-off, rasdaman GmbH,〔http://www.rasdaman.com〕 was established to give commercial support in addition to the research which subsequently has been continued at Jacobs University.〔http://www.rasdaman.com/News/archive.php〕 Since then, both entities collaborate on the further development and use of the rasdaman technology.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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