Contribution of Big Data and Cloud Computing Integration to Large-Scale Data Analytics Process Efficiency: A Literature Review

Authors

  • Yorasakhi Ananta Andalas University, Padang, West Sumatra, Indonesia Author
  • Salsabila Dwi Fitri Jambi University, Jambi, Indonesia Author

Keywords:

Big Data, Cloud Computing, Analytical Efficiency, Large Scale Data Processing, Data-Driven Decisions, Data Processing

Abstract

This article explores the contribution of Big Data and Cloud Computing integration to the efficiency of large-scale data analytics processes. Big Data technology provides the ability to manage large volumes, velocity, and variety of data, while Cloud Computing offers an elastic and scalable platform for data storage and processing. This study shows that the synergy between these two technologies improves the speed, accuracy, and efficiency of data processing, enabling organizations to make data-driven decisions faster and more precisely. The results of the reviewed literature show that the use of Cloud Computing reduces infrastructure costs and accelerates big data processing, while Big Data provides deeper insights into hidden trends and patterns. Overall, this article confirms that the integration of Big Data and Cloud Computing plays a significant role in improving the efficiency of data analytics, as well as providing a competitive advantage for organizations that can properly utilize both technologies.

References

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Published

2025-06-15

Issue

Vol. 1 No. 1 (2025): Artificial Intelligence and Robotic Journal (July - Desember 2025)

Section

Articles

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