A CKAN Plugin for Data Harvesting to the Hadoop Distributed File System

Robert Scholz, Nikolay Tcholtchev, Philipp Lämmel, Ina Schieferdecker

2017

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.

Paper Citation

in Harvard Style

Scholz R., Tcholtchev N., Lämmel P. and Schieferdecker I. (2017). A CKAN Plugin for Data Harvesting to the Hadoop Distributed File System . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 47-56. DOI: 10.5220/0006230200470056

in Bibtex Style

@conference{closer17,
author={Robert Scholz and Nikolay Tcholtchev and Philipp Lämmel and Ina Schieferdecker},
title={A CKAN Plugin for Data Harvesting to the Hadoop Distributed File System},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={47-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006230200470056},
isbn={978-989-758-243-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - A CKAN Plugin for Data Harvesting to the Hadoop Distributed File System
SN - 978-989-758-243-1
AU - Scholz R.
AU - Tcholtchev N.
AU - Lämmel P.
AU - Schieferdecker I.
PY - 2017
SP - 47
EP - 56
DO - 10.5220/0006230200470056