Big Data Meets Large-Scale Visualization

Chris Johnson
University of Utah
Imaging & Biomedical Computing

We live in the Age of Data. 90% of all data in the world has been created in the past two years at a rate of Exabytes per day. New data is growing exponentially in every way: structured, unstructured, quantitative, qualitative, spatial, temporal. One of our greatest scientific challenges is to effectively understand and make use of the vast amount of data being produced. Visual data analysis will be among our most important tools to understand such large-scale complex data. Visualization is useful for detecting patterns, assessing situations, and prioritizing tasks. Visualization facilitates the reasoning process by supporting the human capacity to perceive, understand, and reason about complex large-scale data and enables researchers to derive knowledge from data. In this talk, I will present state-of-the-art visual analysis techniques, insights and examples of how visualization can enable understanding in the Big Data applied to applications in science (biology, astronomy), medicine (cancer, cardiology, radiology, neurology), and engineering (combustion, fluids, materials).

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