Journal of Computer and Communications
Volume 2, Issue 9 (July 2014)
ISSN Print: 2327-5219 ISSN Online: 2327-5227
Google-based Impact Factor: 1.12 Citations
Semantic Recognition of a Data Structure in Big-Data ()
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ABSTRACT
Data governance is a subject that is becoming increasingly important in business and government. In fact, good governance data allows improved interactions between employees of one or more organizations. Data quality represents a great challenge because the cost of non-quality can be very high. Therefore the use of data quality becomes an absolute necessity within an organization. To improve the data quality in a Big-Data source, our purpose, in this paper, is to add semantics to data and help user to recognize the Big-Data schema. The originality of this approach lies in the semantic aspect it offers. It detects issues in data and proposes a data schema by applying a semantic data profiling.
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