MATLAB provides a strong platform for the analysis of complex engineering data. This presentation describes how to use MATLAB analytics to enable deeper insight into the logged data for vehicle design optimization, prognostics, diagnostics, and other applications. These analytics often need to operate on big data sets from different sources, vendor technologies, and file formats. A few typical use cases are discussed along with reference architectures that enable scalability of analysis with big engineering datasets.

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