Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM18719
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Database storage is paramount in mission-critical applications, significantly influencing system performance metrics. In the contemporary technological landscape, the financial burden of procuring servers equipped with high-capacity storage solutions is considerable. To mitigate these expenses, organizations should evaluate alternative avenues, such as NetApp, a remarkably economical option. NetApp has many features, including data cloning, deduplication, and advanced snapshot management, which optimize the storage architecture where databases are housed. This discourse will delve into best practices for integrating NetApp storage with an array of database management systems, emphasizing algorithms that enhance data retrieval efficiency and storage optimization. The strategies proposed herein will furnish organizations with pragmatic methodologies to curtail storage expenditures while ensuring that critical performance measures and scalability are upheld. This approach guarantees that databases operate at their pinnacle of efficiency, all while remaining within predetermined budgetary parameters.
KEYWORDS
Publication Date
4/25/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
24
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...