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PeriodicalsArtificial Intelligence & Machine Learning

Data migration in the cloud database: A review of vendor solutions and challenges

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Abstract & Overview

An important development in information technology, cloud computing allows users to share Internet-based access to pre-con Figured systems and services. While there are many benefits, such cost efficiency and scalability, security is still a big worry for everyone involved. The current practices in authentication have been found to be wanting in providing for the principles of CIA triad; confidentiality, integrity and availability. Data transfer to the cloud is also known as data migration, which takes data from on-premises databases together with other cloud services and which is normally associated with many problems such as data integrity and minimize down time. Additional barriers stem from the continuously maturing cloud environments and different levels of compatibility with the given database structures. This paper focuses on the processes that are involved in data migration and different catalogs of migration including, database migration, data center migration, application migration, business process migration and so on, stressing the significance of planning and implementing these migrations efficiently. The main issues that demand shifting to the cloud are outlined as well as the main approaches that large cloud suppliers such as AWS, Microsoft Azure, and Google Cloud offer. Additionally, potential risks and challenges, such as vendor selection, security concerns, and resource management, are explored. This comprehensive overview highlights the significance of strategic planning and vendor solutions in ensuring successful cloud data migration, while addressing the inherent risks associated with transitioning to cloud-based infrastructures.

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Venkata Nagesh Boddapati, Manikanth Sarisa, Mohit Surender Reddy, Janardhana Rao Sunkara, Shravan Kumar Rajaram, Sanjay Ramdas Bauskar, et al. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. International Journal of Computing and Artificial Intelligence, 3(2), 96–101. https://doi.org/10.33545/27076571.2022.v3.i2a.110

Copy in another style

Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. International Journal of Computing and Artificial Intelligence, 3(2), 96–101. https://doi.org/10.33545/27076571.2022.v3.i2a.110
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