"基于Spark的乐器全员营销系统大数据分析研究"

In today's fast-paced internet era, the development of big data is rapidly evolving, and various industries are more or less related to big data. With the advancement of the internet, a vast amount of interactive data information has been generated. How to search and extract the required information from this massive amount of data has become crucial. This paper focuses on the development of a musical instrument full-staff marketing system using the industry's best big data analysis framework, Spark, to perform real-time and offline analysis of a musical instrument marketing website's logs. The goal is to build a solid foundation for musical instrument full-staff marketing and provide a healthy data source for more advanced data mining and analysis in the future, thereby capitalizing on greater business opportunities. The paper utilizes the mature Spark framework, specifically Spark Streaming, Spark SQL, and Spark Core, for offline data analytics and real-time data processing. The project implements four major modules, including offline analysis of user session visits, offline tracking of webpage conversion rates, offline tracking of popular products, and real-time tracking of ad traffic. Keywords: musical instrument e-commerce log information, Spark, offline statistics, real-time statistics.