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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM18719

Economical Approaches to NetApp Storage for Effective Database Management

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM18719

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

SSSN

Sethu Sesha Synam Neeli

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Abstract

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

NetApp storage cost optimization database management deduplication tiering cloud integration data lifecycle management.

Cite This Article

Sethu Sesha Synam Neeli, "Economical Approaches to NetApp Storage for Effective Database Management," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM18719

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Publication Date

4/25/2023

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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