Cloud applications for data management and deployment: Analysis for financial institutions

  • Khelid Saleh Al Bahad The Arab Academy for Banking and Financial Sciences
Keywords: VPC, SaaS, ACID, Green IT, Replication, AMAZONís EBS, Cloud computing


From one perspective, cloud computing is nothing new because it uses approaches, concepts, and best practices that have already been established. From another perspective, everything is new because cloud computing changes how we invent, develop, deploy, scale, update, maintains, and pay for applications and the infrastructure on which they run. Nonetheless, there exist an increasing number of large companies that are offering cloud computing infrastructure products and services that do not entirely resemble the visions of these individual component topics. The challenge of building consistent, available, and scalable data management systems capable of serving petabytes of data for millions of users has confronted the data management research community as well as large internet enterprises. Financial institutions are not strangers to cloud computing adoption. One of the earlier clouds uses in banks, and financial institutions were for SaaS deployments, which allowed for more social media banking. However, now FIís face the issue of security due to the increased number of data leaks. As a result, cloud within IT strategies and architecture for FIs will increase the risk of a security breach among servers and networks unless there is an adoption of a multiyear cloud strategy to keep data protected. This paper highlights the data management in cloud applications and deployments of various services of cloud computing in Financial Institutions with the study of risk factors in the deployment of transaction data of Financial Institutions on clouds.


Agrawal, R., Kiernan, J., Srikant, R., & Xu, Y. (2004, June). Order preserving encryption for numeric data. In Proceedings of the 2004 ACM SIGMOD international conference on Management of data (pp. 563-574). DOI:

Amazon Web Services. ìSimpleDB. Web Pageî.

Cooper, B. F., Ramakrishnan, R., Srivastava, U., Silberstein, A., Bohannon, P., Jacobsen, H. A., ... & Yerneni, R. (2008). PNUTS: Yahoo!'s hosted data serving platform. Proceedings of the VLDB Endowment, 1(2), 1277-1288..

Fanggidae, J. P. (2020). Relationships between advertising value and dimensions of advertising. The International Journal of Social Sciences World (TIJOSSW), 1(01), 48-57. Retrieved from DOI: Incidents_Database. ticle/dm-0608mcinerney/index.html. xadata.html. findhome-in-amazons-ec2-cloud-742

Madden, S., DeWitt, D., And Stonebraker, M., Database parallelism choices greatly impact scalability. Database Columnblog. abase-parallelism-choices.html.

Olofson, C., 2006, ìWorldwide RDBMS 2005 vendor shares,î Technical Report 201692, IDC.

Stonebraker, M., Madden, S., Abadi, D., Harizopoulos, S., Hachem, N., And Helland P., 2007, ìThe end of an architectural era . In VLDBî, Vienna, Austria.

How to Cite
Bahad, K. S. A. (2020). Cloud applications for data management and deployment: Analysis for financial institutions. The International Journal of Social Sciences World (TIJOSSW), 2(01), 10-19. Retrieved from