The application of big data integration techniques in real scenarios needs to address practical issues related to the scalability of the process and the heterogeneity of data sources. In this paper, we describe the pipeline that has been developed in the context of the Re-search Alps project, a project funded by the EU Commission through the INEA Agency in the CEF Telecom framework, that aims at creating an open dataset describing research centers located in the Alpine area.

Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study / Guerra, Francesco; Sottovia, Paolo; Paganelli, Matteo; Vincini, Maurizio. - (2019), pp. 106-110. ((Intervento presentato al convegno 2019 IEEE International Congress on Big Data (BigDataCongress) tenutosi a Milano nel 8-13 July 2019 [10.1109/BigDataCongress.2019.00027].

Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study

GUERRA, Francesco;Sottovia, Paolo;PAGANELLI, MATTEO;VINCINI, Maurizio
2019

Abstract

The application of big data integration techniques in real scenarios needs to address practical issues related to the scalability of the process and the heterogeneity of data sources. In this paper, we describe the pipeline that has been developed in the context of the Re-search Alps project, a project funded by the EU Commission through the INEA Agency in the CEF Telecom framework, that aims at creating an open dataset describing research centers located in the Alpine area.
2019 IEEE International Congress on Big Data (BigDataCongress)
Milano
8-13 July 2019
106
110
Guerra, Francesco; Sottovia, Paolo; Paganelli, Matteo; Vincini, Maurizio
Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study / Guerra, Francesco; Sottovia, Paolo; Paganelli, Matteo; Vincini, Maurizio. - (2019), pp. 106-110. ((Intervento presentato al convegno 2019 IEEE International Congress on Big Data (BigDataCongress) tenutosi a Milano nel 8-13 July 2019 [10.1109/BigDataCongress.2019.00027].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1180459
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
social impact