DATA GOVERNANCE EXCELLENCE IN THE CLOUD LEVERAGING GCP FOR ENHANCED LINEAGE AND SECURITY
Keywords:
Data Governance, Leveraging GCP, Security, CloudAbstract
The volume and complexity of data is always increasing, and organisations are becoming more adept at using data, which in turn is creating new needs for various methods of data aggregation, manipulation, storage, and presentation. The reality of running a business is becoming too much for data management systems to handle on its own, and progressive businesses have come to this realisation. On the other hand, they have started to see that robust data governance is crucial to solving the data problem. Past efforts at data governance were unsuccessful due to IT-driven, inflexible processes and fragmented, system-by-system approaches. Governance has traditionally been informal, happening in silos around specific enterprise repositories, and there has been a lack of organisational support and structure. With the rise of cloud computing and its widespread use, experts are paying more attention to the topic of data governance, which is surprisingly understudied. Initial studies aimed at creating efficient cloud-based data governance systems are detailed in this article. The significance of data governance in the cloud is discussed in this paper in a way that is both informative and accessible to cloud providers and consumers. Next, the research provides a theoretical basis for the system's development along with a five-stage procedure.
References
Lui F. NIST Cloud Computing Reference Architecture Recommendations of the National Institute of Standards and. 2011. http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:NIST+Cloud+Computing+Reference+Architecture+R ecommendations+of+the+National+Institute+of+Standards+and#1.
Subashini S, Kavitha V. A survey on security issues in service delivery models of cloud computing. J Netw Comput Appl. 2011;34(1):1-11. doi:10.1016/j.jnca.2010.07.006.
Felici M, Koulouris T, Pearson S. Accountability for Data Governance in Cloud Ecosystems. 2013 IEEE 5th Int Conf Cloud Comput Technol Sci. 2013:327-332. doi:10.1109/CloudCom.2013.157.
Modi C, Patel D, Borisaniya B. A survey on security issues and solutions at different layers of Cloud computing. 2013;4(07):561-592. doi:10.1007/s11227-012-0831-5.
Ioisu WL. Governance Model of Cloud Computing Service. Natl Pingtung Univ Sci Technol. 2012;2(7698).
Mell P, Grance T. The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology. Nist Spec Publ. 2011;145:7. doi:10.1136/emj.2010.096966.
Kshetri N. Cloud Computing in Developing Economies. Computer (Long Beach Calif). 2010;43(October):47-55. doi:10.1109/MC.2010.212
R Braun, Michael, et al. "Special considerations for the acquisition and wrangling of big data". Organizational Research Methods, vol. 21, no. 3, 2017, p. 633-659. https://doi.org/10.1177/1094428117690235.
Ramachandran, Muthu, et al. "Towards performance evaluation of cloud service providers for cloud data security". International Journal of Information Management, vol. 36, no. 4, 2016, p. 618-625. https://doi.org/10.1016/j.ijinfomgt.2016.03.005.
Κωνσταντίνου, Νικόλαος, et al. "The vada architecture for cost-effective data wrangling". Proceedings of the 2017 ACM International Conference on Management of Data, 2017. https://doi.org/10.1145/3035918.3058730.
S. M. Taylor, M. Surridge, and B. W. Pickering, "Regulatory Compliance Modelling Using Risk Management Techniques," 2021 IEEE World AI IoT Congress (AIIoT), 2021, doi: https://doi.org/10.1109/aiiot52608.2021.9454188.
Koehler, Martin, et al. "Incorporating data context to cost-effectively automate end-to-end data wrangling". IEEE Transactions on Big Data, vol. 7, no. 1, 2021, p. 169-186. https://doi.org/10.1109/tbdata.2019.2907588
Analysis on the Influence of Emotional Intelligence on the Performance of Managers and Organisational Effectiveness in the it Industry. (2019). In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 9S3, pp. 470–472). https://doi.org/10.35940/ijitee.i3089.0789s319
Rafique, M. Z., Amjad, M. S., Rahman, M. N. A., Zaheer, M. A., & Haider, S. M. (2020). Research Aspects for Methodology Design. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 5, pp. 1987–1991). https://doi.org/10.35940/ijrte.e6014.018520
Bhavsar, K., Shah, Dr. V., & Gopalan, Dr. S. (2019). Business Process Reengineering: A Scope of Automation in Software Project Management using Artificial Intelligence. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 2, pp. 3589–3594). https://doi.org/10.35940/ijeat.b2640.129219
Zakaria, Z., & Ismail, S. N. (2020). The Relationship between Organizational Readiness to Change and Professional Learning Community (PLC) Practices in Kelantan Residential School. In International Journal of Management and Humanities (Vol. 4, Issue 6, pp. 73–77). https://doi.org/10.35940/ijmh.f0611.024620
Goyal, Ms. P., & Deora, Dr. S. S. (2022). Reliability of Trust Management Systems in Cloud Computing. In Indian Journal of Cryptography and Network Security (Vol. 2, Issue 1, pp. 1–5 https://doi.org/10.54105/ijcns.c1417.051322
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