Real-Time Data Analytics in the Cloud: Enabling Enterprise Decision-Making

Authors

  • Prithvi Raju Rudraraju IT America, USA Author

DOI:

https://doi.org/10.32628/CSEIT251112351

Keywords:

Real-time Analytics, Cloud Computing, Event-driven Architecture, System Performance, Compliance Monitoring

Abstract

Real-time data analytics in cloud environments represents a transformative shift in how enterprises process and utilize their data streams. This comprehensive article explores cloud-based analytics systems' fundamental components, implementation strategies, and performance considerations. The article examines data ingestion patterns, processing layer optimizations, storage solutions, security mechanisms, and monitoring approaches. Through a detailed examination of event-driven architectures, compliance requirements, and observability patterns, this article provides insights into building robust and efficient real-time analytics systems while maintaining security and regulatory compliance. The article encompasses technical implementation details and business impact considerations, offering a holistic view of modern analytics infrastructure.

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References

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Published

25-02-2025

Issue

Section

Research Articles

How to Cite

Real-Time Data Analytics in the Cloud: Enabling Enterprise Decision-Making. (2025). International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3468-3479. https://doi.org/10.32628/CSEIT251112351