Data Governance and Compliance in Cloud Environments: Ensuring Data Security and Integrity
Main Article Content
Abstract
Cloud data governance and compliance have emerged as fundamental concerns for organizations as they find themselves more and more dependent upon cloud computing for the storage, processing, and management of data. In addition to the advantages of cloud adoption, issues surrounding data security, compliance with regulations, and maintaining data integrity have given rise to extensive research in the area. This paper presents an in-depth discussion of published studies from the period 2015-2024 centered on the developing picture of data governance and compliance within cloud environments. The research draws attention to emerging challenges like data sovereignty, privacy concerns, and the intricacies of the shared responsibility model in cloud services. Although current frameworks and technology, such as encryption, blockchain, and AI-based automation, have made considerable contributions toward mitigating these issues, there are gaps in the realization of comprehensive integrated and automated compliance solutions. One such key research gap found is the absence of standardized models that cover multi-cloud environments where data governance gets increasingly fragmented among multiple cloud service providers. The second key gap is the scalability of upcoming technologies like blockchain and AI in big-sized cloud environments. The integration of innovative methods like Zero Trust frameworks and serverless computing also needs additional research to be fully compatible with regulatory standards. It is recommended in this paper that future studies need to be more focused on creating stronger, adaptable, and scalable governance models that can cater to the diverse and dynamic nature of cloud computing while strictly being in compliance with international data privacy regulations.
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References
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• Vardhan Akisetty, Antony Satya Vivek, Sandhyarani Ganipaneni, Sivaprasad Nadukuru, Om Goel, Niharika Singh, and Prof. (Dr.) Arpit Jain. 2024. “Developing Data Storage and Query Optimization Systems with GCP’s BigQuery.” International Journal of Worldwide Engineering Research 02(11):268-284. doi: 10.XXXX/ijwer.2584-1645.
• Vardhan Akisetty, Antony Satya Vivek, Aravind Ayyagari, Ravi Kiran Pagidi, Dr. S P Singh, Prof. (Dr.) Sandeep Kumar, and Shalu Jain. 2024. “Optimizing Cloud Based SQL Query Performance for Data Analytics.” International Journal of Worldwide Engineering Research 02(11):285-301.
• Vardhan Akisetty, Antony Satya Vivek, Ashvini Byri, Archit Joshi, Om Goel, Dr. Lalit Kumar, and Prof. Dr. Arpit Jain. 2024. “Improving Manufacturing Efficiency with Predictive Analytics on Streaming Data.” International Journal of Progressive Research in Engineering Management and Science 4(6):2528-2644. https://www.doi.org/10.58257/IJPREMS35036.
• Bhat, Smita Raghavendra, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. 2024. “Developing Fraud Detection Models with Ensemble Techniques in Finance.” International Journal of Research in Modern Engineering and Emerging Technology 12(5):35. https://www.ijrmeet.org.
• Bhat, S. R., Ayyagari, A., & Pagidi, R. K. (2024). “Time Series Forecasting Models for Energy Load Prediction.” Journal of Quantum Science and Technology (JQST), 1(3), Aug(37–52). Retrieved from https://jqst.org/index.php/j/article/view/89.
• Bhat, Smita Raghavendra, Aravind Ayyagari, Ravi Kiran Pagidi, Dr. S P Singh, Prof. (Dr.) Sandeep Kumar, and Shalu Jain. 2024. “Optimizing Cloud-Based SQL Query Performance for Data Analytics.” International Journal of Worldwide Engineering Research 02(11):285-301.
• Abdul, Rafa, Arth Dave, Rahul Arulkumaran, Om Goel, Lalit Kumar, and Arpit Jain. 2024. “Impact of Cloud-Based PLM Systems on Modern Manufacturing Engineering.” International Journal of Research in Modern Engineering and Emerging Technology 12(5):53. https://www.ijrmeet.org.
• Abdul, R., Khan, I., Vadlamani, S., Kumar, D. L., Goel, P. (Dr) P., & Khair, M. A. (2024). “Integrated Solutions for Power and Cooling Asset Management through Oracle PLM.” Journal of Quantum Science and Technology (JQST), 1(3), Aug(53–69). Retrieved from https://jqst.org/index.php/j/article/view/90.
• Abdul, Rafa, Priyank Mohan, Phanindra Kumar, Niharika Singh, Prof. (Dr.) Punit Goel, and Om Goel. 2024. “Reducing Supply Chain Constraints with Data-Driven PLM Processes.” International Journal of Worldwide Engineering Research 02(11):302-317. e-ISSN 2584-1645.
• Gaikwad, Akshay, Pattabi Rama Rao Thumati, Sumit Shekhar, Aman Shrivastav, Shalu Jain, and Sangeet Vashishtha. “Impact of Environmental Stress Testing (HALT/ALT) on the Longevity of High-Risk Components.” International Journal of Research in Modern Engineering and Emerging Technology 12(10): 85. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. ISSN: 2320-6586. Retrieved from www.ijrmeet.org.
• Gaikwad, Akshay, Dasaiah Pakanati, Dignesh Kumar Khatri, Om Goel, Dr. Lalit Kumar, and Prof. Dr. Arpit Jain. “Reliability Estimation and Lifecycle Assessment of Electronics in Extreme Conditions.” International Research Journal of Modernization in Engineering, Technology, and Science 6(8):3119. Retrieved October 24, 2024 (https://www.irjmets.com).
• Dharuman, Narrain Prithvi, Srikanthudu Avancha, Vijay Bhasker Reddy Bhimanapati, Om Goel, Niharika Singh, and Raghav Agarwal. “Multi Controller Base Station Architecture for Efficient 2G 3G Network Operations.” International Journal of Research in Modern Engineering and Emerging Technology 12(10):106. ISSN: 2320-6586. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. www.ijrmeet.org.
• Dharuman, N. P., Thumati, P. R. R., Shekhar, S., Shrivastav, E. A., Jain, S., & Vashishtha, P. (Dr) S. “SIP Signaling Optimization for Distributed Telecom Systems.” Journal of Quantum Science and Technology (JQST), 1(3), Aug(305–322). Retrieved from https://jqst.org/index.php/j/article/view/122.
• Prasad, Rohan Viswanatha, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, Msr Prasad, Sandeep Kumar, and Sangeet. “Observability and Monitoring Best Practices for Incident Management in DevOps.” International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 4(6):2650–2666. doi:10.58257/IJPREMS35035.
• Prasad, Rohan Viswanatha, Aravind Ayyagari, Ravi Kiran Pagidi, S. P. Singh, Sandeep Kumar, and Shalu Jain. “AI-Powered Data Lake Implementations: Improving Analytics Efficiency.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(5):1. Retrieved from www.ijrmeet.org.
• Viswanatha Prasad, Rohan, Indra Reddy Mallela, Krishna Kishor Tirupati, Prof. (Dr.) Sandeep Kumar, Prof. (Dr.) MSR Prasad, and Prof. (Dr.) Sangeet Vashishtha. “Designing IoT Solutions with MQTT and HiveMQ for Remote Management.” International Journal of Worldwide Engineering Research 2(11): 251-267.
• Prasad, R. V., Ganipaneni, S., Nadukuru3, S., Goel, O., Singh, N., & Jain, P. A. “Event-Driven Systems: Reducing Latency in Distributed Architectures.” Journal of Quantum Science and Technology (JQST), 1(3), Aug(1–19). Retrieved from https://jqst.org/index.php/j/article/view/87.