A Survey on Big Data Analytics Technologies

Fei Su; Zhenya Wang; Shan Yang; Ke Li; Xin Lu; Yang Wu; Yi Peng

5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

A Survey on Big Data Analytics Technologies

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@INPROCEEDINGS{10.1007/978-3-319-72823-0_34,
    author={Fei Su and Zhenya Wang and Shan Yang and Ke Li and Xin Lu and Yang Wu and Yi Peng},
    title={A Survey on Big Data Analytics Technologies},
    proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
    proceedings_a={5GWN},
    year={2018},
    month={1},
    keywords={Big data Hadoop Spark NoSQL Streaming MPP database},
    doi={10.1007/978-3-319-72823-0_34}
}

Fei Su
Zhenya Wang
Shan Yang
Ke Li
Xin Lu
Yang Wu
Yi Peng
Year: 2018
A Survey on Big Data Analytics Technologies
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_34

Fei Su¹^,*, Zhenya Wang¹, Shan Yang¹, Ke Li¹, Xin Lu¹, Yang Wu¹, Yi Peng²

1: China Unicom Network Technology Research Institute
2: National Satellite Meteorological Center

*Contact email: sufei@chinaunicom.cn

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.

Keywords: Big data Hadoop Spark NoSQL Streaming MPP database

Published: 2018-01-19
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-72823-0_34