Abstract
With the beginning of new era, data has grown rapidly in both the size and the variety. It becomes not only an important cornerstone of all walks of life, but also the national strategy. The big data collection, parsing, analysis, and applications are important issues to research. For different scenarios of big data applications, appropriate big data processing technologies are needed to complete the real-time and rapid data analysis. The objective of this paper is to analyze the typical big data analysis technologies, find out the characteristics and applicative scenarios, and then provide the reference for big data processing of all industries.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Su, F. et al. (2018). A Survey on Big Data Analytics Technologies. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_34
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DOI: https://doi.org/10.1007/978-3-319-72823-0_34
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