EarthServer has contributed several key innovations towards the vision of barrier-free "mix & match" access to multi-source, any-size coverage data -- in short: "Big Earth Data Analytics" -- based on the open standards of OGC WCPS (aka "XQuery on raster data") and W3C XQuery. EarthServer combines both into a tight data/metadata integration.
Database query languages serve as client/server interface for "mix & match" access to multi-source, any-size, multi-dimensional spatio-temporal data - in short: "Big Earth Data Analytics" - based on the open standards of OGC and W3C. The platform technology, rasdaman, has been extended with further spatiotemporal coverage data types. Highly effective optimizations - such as parallel and distributed query processing - ensure scalability to Exabyte volumes.
Novel aspects added to rasdaman include:
- Integrated data and metadata queries, by combining XQuery for metadata with OGC-WCPS for array queries
- Exascale services through techniques like cloud distribution, parallelization, and SMP processing
- Transparent queries over heterogeneous file archives and databases
- Comprehensive OGC standards support for coverage data and services