Real-Time Clickstream Data Processing and Visualization Using Apache Tools

In the modern digital generation, clickstream data analytics is a crucial component of online selling and purchasing platforms. It offers useful information for enhancing user experience, conversion rates, website design, and keeping track of the success of digital marketing efforts. A data warehouse is required to store and analyze clickstream data, which requires a lengthy and complex ETL process. Two of the leading large data processing tools and distributed streaming systems are Spark and Kafka. This paper presents a comprehensive examination of recent research pertaining to clickstream data analytics, real-time data visualization, data lifecycle management utilizing Apache technologies. Based on the review, the paper proposes an architecture that can aid organizations and local merchants in effectively visualizing the performance of their products. This paper provides a valuable resource for researchers and practitioners seeking to explore the latest developments in their future work.