
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Data Management and Optimization in S3
Author(s) | Prathyusha Kosuru |
---|---|
Country | USA |
Abstract | The best practices for data management and optimization within Amazon S3 are the steps to store a vast amount of data while minimizing costs. Before May 2022, the best practices included using data storage classes depending on the pattern of accessibility, retirement of data using lifecycle policies, and accelerating access by using S3 Select. Sustainability cost reduction measures involved S3 storage classes, including Standard, Intelligent-Tiering, and Glacier, together with improved data retrieval performances through efficient indexing. Furthermore, security measurements like encryption and IAM policies were crucial for the purpose of storing data securely and providing restricted access only to authorized users (Dulloor et al., 2016). |
Keywords | Amazon S3, Data Storage, Cloud Storage Solutions, Data Management, Data Optimization, Object Storage, Data Retrieval, Cost Optimization, Performance Tuning |
Published In | Volume 4, Issue 3, May-June 2022 |
Published On | 2022-05-18 |
DOI | https://doi.org/10.36948/ijfmr.2022.v04i03.12073 |
Short DOI | https://doi.org/g8wkfm |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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