
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2025
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Secure Data Lake Architectures for Public Sector Analytics
Author(s) | Anusha Joodala |
---|---|
Country | United States |
Abstract | The proliferation of big data technologies, particularly data lakes, in the public sector has allowed for better management and analysis of large and heterogenous data sets ranging from structured to unstructured data. Data lakes enable raw data to be stored in a flexible way, which can then be used to make a data analysis and decision, for example, in several public areas, including healthcare, transportation, and law enforcement. But with this growth in both volume and sensitivity of data, the challenges of keeping sensitive information secure in line with increased regulation, while demonstrating transparency around data use, also become even more complex. In this paper, we analyze secure data lake architectures for the public sector, with a strong focus on implementing strong security measures such as encryption, and access controls and compliance considerations. It considers the security risks posed to public institutions and presents a series of best practices for safeguarding data integrity, confidentiality and privacy. The findings highlight the importance of a full security spectrum which balances accessibility and protection, meaning data lakes can be harnessed effectively for public sector analytics in a way that keeps citizen information safe and organizations’ integrity intact. |
Keywords | Data lakes, Public sector, Data security, Compliance, Analytics. |
Field | Engineering |
Published In | Volume 7, Issue 4, July-August 2025 |
Published On | 2025-07-22 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i04.50896 |
Short DOI | https://doi.org/g9tx9s |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
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