Publication Type : Conference Proceedings
Publisher : Springer Nature Singapore
Source : Lecture Notes in Networks and Systems
Url : https://doi.org/10.1007/978-981-96-4142-0_29
Campus : Bengaluru
School : School of Computing
Department : Computer Science and Engineering
Year : 2025
Abstract : Distributed computing allows tasks to be split among multiple computers, improving speed and efficiency for processing large amounts of data. With scalability, cost-effectiveness, and fault tolerance, distributed computing meets the demands of modern data-intensive applications, supporting faster insights and better resource utilization. The proposed model aims at building a real-time data analysis of customer data of their purchases on online platforms. For message passing, data processing, and data storage, Apache-distributed tools are used. By employing these tools, the study ensures immediate updating of the sales dashboard with near-zero delay. The output graphs can be used for analyzing the trends of customer shopping, thereby employing techniques to improve their e-commerce experience.
Cite this Research Publication : Kotyada Mohan Kiran Kumar, Munaga Sai Snehitha, Mohammed Jaffer Ali, Sreebha Bhaskaran, Real-Time Sales Data Analysis Using Distributed Tools: An Implementation of Apache-Distributed Tools, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-4142-0_29