Towards Large-Scale Meteorological Data Services: A Case Study

被引：0
|
作者：
Dimitar Misev
Peter Baumann
Jürgen Seib
机构：
[1] rasdaman GmbH,
[2] Deutscher Wetterdienst,undefined
来源：
Datenbank-Spektrum | 2012年 / 12卷 / 3期
关键词：
Array databases; rasdaman; Weather data; Climate data;
D O I：
10.1007/s13222-012-0103-9
中图分类号：
学科分类号：
摘要：
Meteorological data contribute significantly to “Big Data”, handling multi-dimensional raster data cubes up to 5-D and with single cubes up to multi-Petabyte sizes. Due to the lack of support for raster data, traditionally file-based implementations have been used for serving such data to the community, rather than databases. Array databases overcome this by providing storage and query support.
引用
收藏
页码：183 / 192
页数：9
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