Abstract
With the evolving technologies and data exchanges amongst borders, big data privacy issues have become the heated discussion. The big data storage and analysis occurs by cloud infrastructures which pose challenges of security and privacy. This research explains the recent privacy concerns, risks and risk mitigation strategies in heavy data computational environments. The paper has successfully produced the state of art on big data risk management, privacy open research questions, vulnerabilities and threats encountered. The paper provides a deep research on big data analytics, tools, features, users and challenges in big data computing. This state of art constructs a useful case for building new privacy models in industrial big data computing in future.
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