Internet User Behavior Analysis Based on Big Data

Author(s):  
Jiangnan He ◽  
Xiaoyin Yin
2018 ◽  
Vol 232 ◽  
pp. 01004
Author(s):  
Wenshuai Ge ◽  
Gang He ◽  
Xinwen Liu

This paper proposes a big data query system for customized queries based on specific business needs. This paper introduces the components and structure of the query system. ANTLR tools are used as language recognizer to design and implement a customized SQL dialect. The system builds a simpler and easier query interface on Spark SQL, which satisfies the query requirements of the Internet user behavior analysis platform.


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