Big data refers to large and complex data sets that cannot be processed by traditional software. It presents challenges in terms of capturing, storing, analyzing, and visualizing the data. The size and number of available data sets have grown rapidly, and the global spending on big data solutions is predicted to reach billions of dollars.
UC Berkeley
Spring 2020
The course addresses programming parallel computers to solve complex scientific and engineering problems. It covers an array of parallelization strategies for numerical simulation, data analysis, and machine learning, and provides experience with popular parallel programming tools.
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