Abstract
Big Data and cloud computing integration has become a formidable strategy for businesses to unlock the potential of enormous and complicated data sets. With the scalability, flexibility, and cost-effectiveness that this combination provides, businesses are able to handle and analyse massive amounts of data in a distributed, as-needed way. But there are also issues and restrictions that need to be resolved with this integration. This overview of the literature focuses on the issues, difficulties, and potential applications of big data and cloud computing. It offers information on the advantages of this integration, such as improved data processing capabilities, increased scalability, and cost reduction. The difficulties with data migration, security, privacy, data governance, talent needs, vendor lock-in, and compliance are all discussed. Future research areas are also highlighted, such as enhanced analytics methods, edge computing integration, privacy-preserving data analysis, hybrid cloud architectures, data governance, real-time decision-making, and applications specialised to particular industries. Organisations can maximise the potential of Big Data with cloud computing and generate priceless insights to fuel innovation and informed decision-making by comprehending, tackling, and investigating these difficulties.
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