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Presented By: Michigan Institute for Computational Discovery and Engineering

Why Storage for Big Data is Hard

Henry Neeman, Director, OU Supercomputing Center for Education and Research, University of Oklahoma

Bio: Henry Neeman is Director of the OU Supercomputing Center for Education and Research (OSCER); Assistant Vice President, Information Technology – Research Strategy Advisor; Associate Professor, College of Engineering; and Adjunct Associate Professor, School of Computer Science; University of Oklahoma. He received a Ph.D and M.S. in Computer Science from the University of Illinois at Urbana-Champaign, and did doctoral and post-doc work at the National Center for Supercomputing Applications at UIUC.

Abstract: We’re now inundated with data of ever increasing volume, velocity and variety. Managing all this data is a vast and confounding challenge. In this presentation, Neeman will examine one facet of this problem — how to provide large scale, long term storage affordably — to determine the challenges and how they can be met. He will look at a novel business model, combined with one of the oldest storage technologies in computing history, that together can enable “cold” datasets to be
maintained for a decade or more, at the lowest cost to researchers of any storage technology on the market today, but with higher reliability and availability than more expensive technologies.

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