Discussion – 500 + words / APA format / 6 hours/ NO plagiarism

Cloud computing represents one of the most significant paradigms shifts in information technology (IT) history. This is due to an extension of sharing an application-hosting provider that has been around for many years and was common in highly regulated vertical industries like banks and health care institutions.  The impetus behind cloud computing lies on the idea that it provides economies of scale by spreading costs across many client organizations and pooling computing resources while matching client computing needs to consumption in a flexible, real-time version. Identify the issues and risks that pose concern to organizations storing data in the cloud and support your discussion. Please make your initial post
At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.
Read the following learning materials.
Chhabra, & Bala, M. (2018). A Comparative Study of Data Deduplication Strategies. 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), 68–72.
Franks. (2015). New technologies, new challenges: Records retention in a cloud environment. Canadian Journal of Information and Library Science, 39(2), 191–209.
Luciana Duranti & Corinne Rogers. (2019). Trusting Records in the Cloud: The Creation, Management, and Preservation of Trustworthy Digital Content, pp 119 – 131. Facet Publishing.
Md Ajis, & Hajar Baharin, S. (2019). Dark Data Management as frontier of Information Governance. 2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 34–37.
Shetty, S. (2017). How to tackle dark data. Gartner.
Moumeni, L., Slimani, I., Farissi, I. E., Saber, M., & Belkasmi, M. G. (2021). Dark data as a new challenge to improve business performances: Review and perspectives.  2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA), 216–220.
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