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Cloud-Based Big Data Management Technology is the practice of storing, cleaning, organizing, and analyzing massive datasets using remote servers hosted on the internet, rather than using physical, on-premise servers located inside a company's own data center.
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The provided video outlines five distinct paradigms of computational architecture, detailing how each handles data processing and storage. Cloud computing serves as a centralized hub for scalable, remote resources, while edge and fog computing decentralize this power by moving tasks closer to the data source to minimize delay. In contrast, High-Performance Computing (HPC) utilizes massive clusters of traditional hardware to solve labor-intensive mathematical problems through brute-force parallel processing. The most radical shift is quantum computing, which leverages the unique principles of subatomic physics to perform calculations that are impossible for standard computers.
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This MCQ assessments in general will assess the student on their understanding of cloud-based big data technology in terms of definitions, concepts and its applications.
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