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An architecture and services for constructing data marts from online data sources
McCarthy, Suzanne; McCarren, Andrew; Roantree, Mark
The Agri sector has shown an exponential growth in both the requirement for and the production and availability of data. In parallel with this growth, Agri organisations often have a need to integrate their in-house data with international, web-based datasets. Generally, data is freely available from official government sources but there is very little unity between sources, often leading to significant manual overhead in the development of data integration systems and the preparation of reports. While this has led to an increased use of data warehousing technology in the Agri sector, the issues of cost in terms of both time to access data and the financial costs of generating the Extract-Transform-Load layers remain high. In this work, we examine more lightweight data marts in an infrastructure which can support on-demand queries. We focus on the construction of data marts which combine both enterprise and web data, and present an evaluation which verifies the transformation process from source to data mart.
Keyword(s): Artificial intelligence
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): McCarthy, Suzanne, McCarren, Andrew and Roantree, Mark (2018) An architecture and services for constructing data marts from online data sources. Technical Report. UNSPECIFIED.
File Format(s): application/pdf
Related Link(s):
First Indexed: 2018-06-07 06:05:06 Last Updated: 2019-02-09 06:09:33