异构数据源的大数据集成:research Alps案例研究

F. Guerra, Paolo Sottovia, Matteo Paganelli, M. Vincini
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引用次数: 4

摘要

大数据集成技术在实际场景中的应用,需要解决过程的可扩展性和数据源的异构性等实际问题。在本文中,我们描述了在阿尔卑斯研究项目背景下开发的管道,该项目由欧盟委员会通过CEF电信框架中的INEA机构资助,旨在创建一个描述位于阿尔卑斯地区的研究中心的开放数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study
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.
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