Real-Time Data Processing in Cloud Computing: Enterprise Implementation Strategies

Authors

  • Venkata Reddy Keesara Campbellsville University, USA Author

DOI:

https://doi.org/10.32628/CSEIT251112134

Keywords:

Cloud Computing, Real-time Data Processing, Enterprise Architecture, IoT Integration, Scalability Patterns

Abstract

This article examines the transformative impact of real-time data access enabled by cloud computing across enterprise organizations, focusing on implementation strategies and architectural patterns. Through detailed analysis of industry-leading case studies, this article explores how cloud-based real-time data processing solutions have revolutionized business operations and customer experiences. This article investigates critical technical components including data streaming architectures, IoT integration, geospatial processing, and predictive analytics implementations. This article demonstrates that successful real-time data processing implementations require careful consideration of infrastructure requirements, scalability patterns, and performance optimization strategies. This article provides insights into common challenges such as handling peak loads, ensuring data consistency, and maintaining system reliability, while also examining emerging trends in edge computing and artificial intelligence integration. This article contributes to the growing body of knowledge on enterprise-scale real-time data processing and offers practical guidance for organizations planning similar implementations.

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References

R.Suganya et al., "Cloud Based Big Data Analytics: A Survey Of Current Research And Future Directions," IJSDR, vol. 4, no. 9, Sep. 2019. [Online]. Available: https://jit.ac.in/journal/cse/125.pdf

Mounica Achanta, "The Impact of Real-Time Data Processing on Business Decision - making," International Journal of Scientific Research, vol. 13, no. 7, July. 2024. [Online]. Available: https://www.ijsr.net/archive/v13i7/SR24708033511.pdf

Radosław Matusiak et al., "A real-time service system in the cloud," ResearchGate, vol. 11, no. 1, Mar. 2020. [Online]. Available: https://www.researchgate.net/publication/330884357_A_real-time_service_system_in_the_cloud

Mohanraj Varatharaj et al., "Scalable Event-Driven Architectures For Real-Time Data Processing: A Framework For Distributed Systems," International Journal of Computer Engineering and Technology, vol. 15, no. 6, Dec. 2024. [Online]. Available: https://iaeme.com/MasterAdmin/Journal_uploads/IJCET/VOLUME_15_ISSUE_6/IJCET_15_06_167.pdf

Uğur Kekevi and Ahmet Arif Aydin, "Real-Time Big Data Processing and Analytics: Concepts, Technologies, and Domains," ResearchGate, Nov. 2022. [Online]. Available: https://www.researchgate.net/publication/366071082_Real-Time_Big_Data_Processing_and_Analytics_Concepts_Technologies_and_Domains

Prathamesh N. Dumbare et al., "Performance Optimization & Security," International Journal of Research Publication and Reviews, vol. 4, no. 5, May 2023. [Online]. Available: https://ijrpr.com/uploads/V4ISSUE5/IJRPR13642.pdf

Selvakumar Alagarsamy, "Enterprise Real-Time Analytics: Cloud Architecture and Implementation Guide," International Journal of Computer Engineering & Technology, vol. 16, no. 6, Dec. 2024. [Online]. Available: https://www.researchgate.net/publication/387435580_ENTERPRISE_REAL-TIME_ANALYTICS_A_CLOUD_ARCHITECTURE_AND_ENGINEERING_GUIDE

Sreedhara Ramesh Chandra et al., "IoT and Real-Time Data Analytics: Transforming Business Decision-Making Processes," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 22S, 2024. [Online]. Available: https://ijisae.org/index.php/IJISAE/article/view/6400

Eram Mehmooda and Tayyaba Anees, "Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review," IEEE Access, 8 July 2020. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9126812

James Plank et al., "Optimizing Performance and Reliability in Distributed Computing Systems Through Wide Spectrum Storage," ResearchGate, Jan. 2003. [Online]. Available: https://www.researchgate.net/publication/220949353_Optimizing_Performance_and_Reliability_in_Distributed_Computing_Systems_Through_Wide_Spectrum_Storage

Trung Q. Duong, "Quantum-Inspired Real-Time Optimization for 6G Networks: Opportunities, Challenges, and the Road Ahead," IEEE Xplore, vol. 3, 2 Aug. 2022. [Online]. Available: https://ieeexplore.ieee.org/document/9849061

Yuansong Qiao et al., "Edge Computing and Distributed Intelligence," ResearchGate, April 2020. [Online]. Available: https://www.researchgate.net/publication/340849467_Edge_Computing_and_Distributed_Intelligence

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Published

31-01-2025

Issue

Section

Research Articles

How to Cite

Real-Time Data Processing in Cloud Computing: Enterprise Implementation Strategies. (2025). International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 1295-1304. https://doi.org/10.32628/CSEIT251112134