REAL TIME DATA RETRIEVAL AND CONCURRENT DATAFLOW
Prof. Satish .C. Cholke1, Ganesh Gaikwad2, Dhanshree Umare3, Darshan Ghumare4, Rutuja Kokate5
*1 Assistant Professor, Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik,
Maharashtra, India
*2,3,4,5 Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik,
Maharashtra, India
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Abstract - Real-time analytics (RTA) has emerged as a distinct branch of big data analytics focusing on the velocity aspect of big data, in which data is prepared, processed, and analyzed as it arrives, intending to generate insights and create business value in near real-time. The objective of this paper is to provide an overview of key concepts and architectural approaches for designing RTA solutions, including the relevant infrastructure, processing, and analytics platforms, as well as analytics techniques and tools with the most up-to-date machine learning and artificial intelligence considerations, and position these in the context of the most prominent platforms and analytics techniques. The paper develops a logical analytics stack to support the description of key functionality and relationships between relevant components in RTA solutions based on a thorough literature review and industrial practice. concise summary of the e-commerce website project. It briefly outlines the key technologies used and highlights the significant features, including payment gateway integration, employee detail API, product recommendations powered by TensorFlow, cookies for personalization, and real-time data updates via MongoDB. The abstract is a concise summary of the entire business plan. It provides a brief overview of what the e-commerce website business is about, its key features, and the goals it aims to achieve.
Key Words: Web Development, Technologies, eCommerce, Real-time analytics, data streaming, big data analytics, complex event processing, machine learning.
