TECHNOLOGY ASSESSMENT OF DUMONIA
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Abstract
The following report aims to highlight how Dumnonia company will implement the k-anonymity model for maintaining and preserving the privacy of big data. This company is serving citizens in New Zealand and Australia with different types of insurance services such as vehicle insurance, death insurance, and travel insurance. As the organization is dealing with the medical data of citizens so it is important to implement effective security controls for maintaining data confidentiality and privacy. In order to deal and manage with massive amount of medical and insurance data, the business executives of company have decided to opt big
data. The traditional data management models are unable to process a huge volume of big data because this data has been gathered from unstructured and unstructured data sources. Hence, the organization needs to implement effective security management tools that would promote preservation of data confidentiality and privacy along with high system performance.
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