ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM107
doi: 10.71141/30485037/ICETETI-MSM107

Enhancing the Efficiency of Oracle Database Storage Using Automatic Bigfile Shrinking Techniques

Ethan Chen, Muhammadu Sathik Raja

Citation:
Ethan Chen, Muhammadu Sathik Raja, "Enhancing the Efficiency of Oracle Database Storage Using Automatic Bigfile Shrinking Techniques" International Journal of Multidisciplinary on Science and Management, pp. 56-65, 2024.

Abstract:
Efficient database storage management is a critical aspect of modern database administration, particularly in Oracle environments where storage costs and performance optimization play a crucial role. This paper explores automatic bigfile shrinking techniques to enhance Oracle database efficiency by reducing storage waste and improving performance. Traditional storage management strategies often involve manual intervention, leading to inefficiencies and increased administrative overhead. Automatic bigfile shrinking dynamically reallocates space based on actual data requirements, minimizing fragmentation and maximizing disk utilization. Through experimental analysis, this study evaluates the impact of automated shrinking on storage efficiency, system performance, and overall database management. The results demonstrate that automatic bigfile shrinking significantly optimizes storage usage while maintaining database integrity and performance, making it a viable approach for modern database environments.

Keywords: Oracle Database, Storage Optimization, Bigfile Shrinking, Automatic Space Management, Performance Enhancement, Data Fragmentation.

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