Mišev, Dimitar and Baumann, Peter and Merticariu, Vlad and Bellos, Dimitris and Wiehle, Stefan (2018) BigDataCube: Making Big Data a Commodity. 69th International Astronautical Congress, IAC 2018, 01.-05. Okt. 2018, Bremen, Germany.
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Official URL: https://www.iac2018.org/
Abstract
The Big DataCube project aims at advancing the innovative datacube paradigm - i.e ., analysis - ready spatio - temporal raster data - from the level of a scientific prototype to precommercial Earth Observation (EO) services. To this end, the European Datacube Engine (in database lingo: ‖Array Database System ‖), rasdaman, will be installed on the public German Copernicus hub, CODE - DE , as well as in a comme rc ial c loud environment to exe mp larily offer analyt ics services and to federate both, thereby demonstrating an integrated public/private service . Started in January 2018 with a runtime of 18 months, Big DataCube will co mple ment the batch - orien ted Hadoop service already available on CODE - DE with rasdaman thereby offering important additional functionality, in particular a paradig m of -any query, any t ime, on any size‖, strictly based on open geo standards and federated with other data centers. On this platform novel, specialized services can be established by third parties in a fast, fle xible, and scalable manner. To this end, several features crucial for operational services need to be tested and/or imple mented, such as securing access (in parti cular in a distributed processing context), tuning to the specific cloud configuration of CODE - DE, and further items to be determined in the initial requirements analysis phase. The result will be the prototype of a federation of rasdaman installations on CODE-DE, cloudeo, as we ll as further (external) data centers; further, best practices on the use of array databases in operational environments will be established. This will pave the way for individual value - adding services by third parties.
Item URL in elib: | https://elib.dlr.de/123794/ | ||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||
Additional Information: | Corresponding Author: Dimitar Mišev; {first name initial}.{last name}@jacobs-university.de | ||||||||||||||||||
Title: | BigDataCube: Making Big Data a Commodity | ||||||||||||||||||
Authors: |
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Date: | October 2018 | ||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||
Page Range: | pp. 1-9 | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | BigDataCube, rasdaman, public German Copernicus hub, Copernicus, CODE-DE, cloudeo, big data, earth obeservation, EO | ||||||||||||||||||
Event Title: | 69th International Astronautical Congress, IAC 2018 | ||||||||||||||||||
Event Location: | Bremen, Germany | ||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||
Event Dates: | 01.-05. Okt. 2018 | ||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||
DLR - Research theme (Project): | R - SAR methods | ||||||||||||||||||
Location: | Bremen , Oberpfaffenhofen | ||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | ||||||||||||||||||
Deposited By: | Kaps, Ruth | ||||||||||||||||||
Deposited On: | 30 Nov 2018 11:17 | ||||||||||||||||||
Last Modified: | 01 Nov 2019 03:00 |
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