A Survey on Big Data Analytics Technologies

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

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.