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A CKAN plugin for data harvesting to the Hadoop distributed file system

 
: Scholz, Robert; Tcholtchev, Nikolay; Lämmel, Philipp; Schieferdecker, Ina

:
Postprint urn:nbn:de:0011-n-4591163 (1.0 MByte PDF)
MD5 Fingerprint: ac056b8ebb27b0614ef25945e86caf96
Erstellt am: 15.12.2017


Ferguson, Donald (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
7th International Conference on Cloud Computing and Services Science, CLOSER 2017. Proceedings : April 24-26, 2017, in Porto, Portugal
SciTePress, 2017
ISBN: 978-989-758-243-1
S.47-56
International Conference on Cloud Computing and Services Science (CLOSER) <7, 2017, Porto>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()

Abstract
Smart Cities will mainly emerge around the opening of large amounts of data, which are currently kept closed by various stakeholders within an urban ecosystem. This data requires to be cataloged and made available to the community, such that applications and services can be developed for citizens, companies and for optimizing processes within a city itself. In that scope, the current work seeks to develop concepts and prototypes, in order to enable and demonstrate, how data cataloging and data storage can be merged towards the provisioning of large amounts of data in urban environments. The developed concepts, prototype, case study and belonging evaluations are based on the integration of common technologies from the domains of Open Data and large scale data processing in data centers, namely CKAN and Hadoop.

: http://publica.fraunhofer.de/dokumente/N-459116.html