Towards Large-Scale Meteorological Data Services: A Case Study

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.