Real-Time Business Intelligence Using Stream Processing and Cloud Analytics

Authors

  • Munish Kumar Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India Author

DOI:

https://doi.org/10.15662/IJEETR.2023.0506012

Keywords:

Real-Time Business Intelligence, Stream Processing, Cloud Analytics, Big Data, Event-Driven Architecture

Abstract

Real-Time Business Intelligence (RTBI) leverages stream processing and cloud analytics to enable organizations to analyze high-velocity data streams instantly, supporting timely, data-driven decision-making and operational agility in dynamic business environments.

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Published

2023-12-15

Issue

Vol. 5 No. 6 (2023): International Journal of Engineering & Extended Technologies Research (IJEETR)

Section

Articles

How to Cite

Real-Time Business Intelligence Using Stream Processing and Cloud Analytics. (2023). International Journal of Engineering & Extended Technologies Research (IJEETR), 5(6), 7556-7560. https://doi.org/10.15662/IJEETR.2023.0506012