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BigDataCube: Making Big Data a Commodity

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/
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:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mišev, DimitarDepartment of Computer Science & Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759UNSPECIFIED
Baumann, PeterDepartment of Computer Science & Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759UNSPECIFIED
Merticariu, VladDepartment of Computer Science & Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759UNSPECIFIED
Bellos, Dimitriscloudeo AG, Ludwigstrasse 8, 80539 Munich, Germany, {first name initial}{last name} (at) cloudeo.groupUNSPECIFIED
Wiehle, StefanStefan.Wiehle (at) dlr.dehttps://orcid.org/0000-0003-1476-6261
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 - Erdbeobachtung
DLR - Research theme (Project):R - SAR-Methodology
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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