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One of the most substantial opportunities in Big Data is to integrate disparate data sources across the enterprise. To realize this goal it can be valuable to leverage environments developed for high speed parallel processing as well as toolkits supporting the development and maintenance of semantic information. In support of this approach a proposed framework and methodology is presented to utilize...
In order to realize the promise of Big Data, applications will have to consider the integration of many disparate data sources. Due to data heterogeneity, this task presents a number of challenges that may not be completely resolved with existing Extract-Transform-Load (ETL)-based frameworks. In this paper, we explore the potential of Semantic Web Technologies as a means of integration and development...
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