少数民族服务机构的大数据科学培训计划:过程和初步结果。

A. McEligot, M. Cuajungco, S. Behseta, Laura Chandler, Harmanpreet Chauhan, S. Mitra, P. Rusmevichientong, S. Charles
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引用次数: 1

摘要

大数据是指如此庞大和复杂的数据,使得传统的计算/软件和硬件难以或不可能管理(Frost 2015;Bellazzi 2014)。全球范围内,仅在医疗保健领域,电子数据的数量就势如势利,估计有近10亿tb的数据,并继续以指数增长到zetabytes的数据(Cottle, Hoover, Kanwal, Kohn, Strome & Treister, 2013)。不仅大数据的数量惊人,而且各种形式和类型的数据(结构化和非结构化)的多样性和准确性使其成为研究,培训和教育的关键领域(科特尔等人,2013)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Science Training Program at a Minority Serving Institution: Processes and Initial Outcomes.
Big Data refers to data that are so large and complex, making it difficult or impossible to manage with traditional computing/software and hardware (Frost 2015; Bellazzi 2014). The volume of electronic data worldwide, just in the healthcare field, is overwhelming with an estimate of nearly 1 billion terabytes of data, and continuing to exponentially grow to zetabytes of data (Cottle, Hoover, Kanwal, Kohn, Strome & Treister, 2013). Not only is the volume of Big Data staggering, but the variety and veracity of the various forms and types of data (structured and unstructured) make it a critical area for research, training and education (Cottle et al., 2013).
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