Towards Large-Scale Meteorological Data Services: A Case Study
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.
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