Name
Abstract | ||
|---|---|---|
The data deluge we face does not only overwhelm us with sheer data volume, but also with an increasing variety of multi-dimensional datasets. As is more and more accepted, spatio-temporal data sets often can be represented through a common unifying paradigm, namely datacubes. In this contribution, we present datacubes as a common modeling paradigm upon which flexible, scalable services can be offered based on the concept of a datacube query language. With the use case of an intercontinental datacube federation, EarthServer, we point out how the technicalities of the query language can be hidden, thereby allowing user-friendly visual data interaction. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729039 | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Keywords | Field | DocType |
datacube,Big Data,EarthServer,rasdaman,OGC WCS,OGC WCPS | Data modeling,Computer vision,Iso standards,World Wide Web,Query language,Data set,Information retrieval,Computer science,As is,Artificial intelligence,Data cube,Scalability | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-5090-3333-1 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| peter baumann | 1 | 59 | 14.40 |
| Angelo Pio Rossi | 2 | 25 | 2.64 |