Abstract
E-commerce platforms gradually integrate into our lives. Online shopping has become a daily habit for people. People who shop online will generate online shopping records in real time. These online shopping records are often massive. E-commerce platforms use relevant big data technology to conduct statistics on real-time user data. In response to the current demand for e-commerce platforms for big data real-time computing technology, this article provides an idea of big data streaming computing, a framework for combining two big data technologies, Spark and Kafka, to process streaming data. This framework uses Kafka to send real-time data to SparkStreaming for calculation. Then the obtained data is visualized. This article applies these two big data technologies to simulate and implement an application case of an e-commerce platform. This case design and implementation enables real-time statistics of the click volume of a mobile phone brand on an e-commerce platform and dynamic display of streaming data on the Web.
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