Abstract
Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, search, sharing, storage, transfer, visualization, querying, and updating and information privacy. However, these huge data cannot easily handle since the most of CS systems are relational, and an adjustment is needed before any processing. With emergence of Big Data, new NoSQL systems come to deal with this relational data issue. So, we propose an approach to migrate historical CS data from relational to NoSQL system, and use a distributed environment containing many nodes. As experimentation, we migrate data generated by an oil and gas CS to an appropriate distributed NoSQL system, and we perform some data mining experiments on them in order to compare results and prove the obtained performance.
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Farhaoui, Y. (2018). Big Data Analytics Applied for Control Systems. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds) Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-69137-4_36
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DOI: https://doi.org/10.1007/978-3-319-69137-4_36
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