ItemConference Paper

Edge Computing and Real-Time Analytics as the Next Frontier for Big Data in IT Companies

Title
Edge Computing and Real-Time Analytics as the Next Frontier for Big Data in IT Companies
Creator
Radhakrishnan, P.; Shravani, K.; Prasadula, Naveen; Maheshwari, Sumit; Acharjee, Purnendu Bikash; Dhanraj, Joshuva Arockia
Description
Edge computing combined with real-Time analytics is rapidly transforming the way the IT companies can use big data to make smarter and quicker decisions. Centralized model of clouds traditional clouds are being put under stress owing to an explosive increase in data volume, latency sensitive applications as well as bandwidth limitations. Edge computing also makes computation much closer to data sources and allows real-Time analytics that can mitigate latency by orders of magnitude, increase data security and achieve instant insights at a scale. This paradigm shift gives power to IT firms to maximize operations, individualize services and allow agile reactions in a dynamic scenario like smart infrastructure, IoT implementations, and AI-based systems. Edge computing can also be used to offload processing to the edge thus reducing traffic in the core network as well as enabling distributed intelligence. Moreover, edge systems, coupled with AI models, make IT infrastructures perform predictive analytics at the source and become less dependent on backhaul links. This hybridizing process is a paradigm shift in the serious research of big data strategies, and in a future where competitive advantage will rest on latency, context-sensitivity, and localized smarts. 2025 IEEE.
Source
Proceedings - 2025 IEEE 1st International Conference on Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies, SISIMPACT 2025;pp.985-990
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Big data; Decentralized processing; Edge computing; Latency; Real-Time analytics
Coverage
Radhakrishnan P., School of CS and AI, SR University, Telangana, Warangal, 506371, India; Shravani K., Malla Reddy University, Department of Data Science, Telangana, Hyderabad, 500100, India; Prasadula N., Pannala Ram Reddy College of Business Management, Osmania University, Hyderabad, India; Maheshwari S., ABES Engineering College, Uttar Pradesh, Ghaziabad, India; Acharjee P.B., Computer Science CHRIST University, Bengaluru, India; Dhanraj J.A., University Centre for Research and Development (UCRD), Chandigarh University, Punjab, Mohali, 140413, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833155787-4;
Format
online
Language
English
Type
Conference paper

Citation

Radhakrishnan, P.; Shravani, K.; Prasadula, Naveen; Maheshwari, Sumit; Acharjee, Purnendu Bikash; Dhanraj, Joshuva Arockia, “Edge Computing and Real-Time Analytics as the Next Frontier for Big Data in IT Companies,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26213.

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