Advancing Cloud Data Architectures: A Deep Dive into Scalability, Security, and Intelligent Data Management for Next-Generation Applications

Authors

  • Srinivas Murri Independent Researcher, USA
  • Swetha Chinta Independent Researcher, USA
  • Souratn Jain Independent Researcher, USA
  • Thejaswi Adimulam Independent Researcher, USA

Keywords:

Innovative Applications, Smart Data Control, Cloud Computing Security, Cloud Resources Scale-up/scale-out, Cloud Data Architectures

Abstract

This paper delves into enhancements in the cloud data structures by focusing on the scalability, security, and smart data management necessary for future application solutions. Since it employs quantitative data analysis alongside case studies, the research in the current technologies assesses the current status and gaps. Forces like security requirements, growth requirements and AI integration stand out as important considerations critical to future directions. What these improvements signal is higher performance, greater data security, and better, ability to accommodate fluctuating application requirements. The paper’s main contribution to the field of knowledge is the elaboration of a holistic interlinked set of challenges that can be encountered in contemporary cloud systems.

Published

29-12-2024

How to Cite

Srinivas Murri, Swetha Chinta, Souratn Jain, & Thejaswi Adimulam. (2024). Advancing Cloud Data Architectures: A Deep Dive into Scalability, Security, and Intelligent Data Management for Next-Generation Applications. Well Testing Journal, 33(S2), 619–644. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/128

Issue

Section

Research Articles

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