基于大数据的用户行为分析平台设计研究
Design and Research of User Behavior Analysis Platform Based on Big Data

随着互联网时代多元化商业模式和细分市场的快速发展，众多行业面临着高昂获客成本和高流失率的双重挑战，第三方服务存在安全隐患，无法根据自身用户量身定制。在此基础上本文重点分析了基于大数据环境下的用户行为分析平台数据流程设计和架构设计，以及设计过程中的技术线路。区别于热搜、百度指数等专职分析用户行为平台，系统具有无痕埋点、分布式服务、可视化分析、云服务(SAS)等特色，技术手段前沿，应用前景广泛。
With the rapid development of diversified business models and market segments in the Internet era, many industries are facing the double challenges of high customer cost and high loss rate. There are security risks in third-party services, which cannot be customized according to their own users. On this basis, this paper focuses on the analysis of data flow design of user behavior analysis platform and architecture design based on large data environment, as well as the technical lines in the design process. Different from the full-time user-behavior analysis platforms such as hot search and Baidu Index, the system has the characteristics of traceless burial point, distributed service, visual analysis, cloud service (SAS) service, etc. It has the frontier of technical means and wide application prospects.