Fiche du document
7 septembre 2021
- handle: 10670/1.jshkj1
- isbn: 978-3-030-84788-3
- hal: hal-04175103
- doi: 10.1007/978-3-030-84789-0_12
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-84789-0_12
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Sujets proches
Natural science Sciences Science of science Large data sets Data sets, LargeCiter ce document
Fabian Kirstein et al., « Ronda: Real-Time Data Provision, Processing and Publication for Open Data », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-030-84789-0_12
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Résumé
The provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.