Next-Generation AI Architectures for Real-Time Big Data Analytics in  Cloud Platforms

ARAVIND KUMAR NAINI ,DR. SANJAY KUMAR

Next-Generation AI Architectures for Real-Time Big Data Analytics in Cloud Platforms

Authors

ARAVIND KUMAR NAINI ,DR. SANJAY KUMAR

Keywords:

Artificial Intelligence, Big Data Analytics, Cloud Computing, Real-Time Analytics, Deep Learning, Apache Spark, Apache Kafka, Kubernetes, Distributed Computing, Resource Scheduling.

Abstract

Over the last couple of years, the amount of real-time data available via theInternet of Things (IoT), health services, financial applications and smart applications is growing quickly, presenting a need for intelligent and scalable

References

1. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58. https://doi.org/10.1145/1721654.1721672

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Published

2024-10-24

How to Cite

ARAVIND KUMAR NAINI ,DR. SANJAY KUMAR. (2024). Next-Generation AI Architectures for Real-Time Big Data Analytics in Cloud Platforms . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7860–7874. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5848