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

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  • Prithvi Raju Rudraraju

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.

Suggested Citation

  • Prithvi Raju Rudraraju, 2025. "Real-Time Data Analytics in the Cloud: Enabling Enterprise Decision-Making," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 3468-3479, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:1025
    DOI: 10.32628/CSEIT251112351
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112351
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