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外文文献翻译大数据和云计算2017.doc

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外文文献翻译大数据和云计算2017.doc

上传人:陈潇睡不醒 2018/6/1 文件大小:48 KB

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外文文献翻译大数据和云计算2017.doc

文档介绍

文档介绍:大数据和云计算技术外文文献翻译
(含:英文原文及中文译文)
文献出处: Bryant R. The research of big data and puting technology [J]. Information Systems, 2017, 3(5): 98-109
英文原文
The research of big data and puting technology
Bryant Roy
Abstract
The rapid development of mobile , of Things, and puting technologies has opened the prelude to the era of mobile cloud, and big data is increasingly attracting people's attention. The emergence of the has shortened the distance between people, people, and the world. The entire world has e a "global village," and people have accessibility, information exchange, and collaborative work through the . At the same time, with the rapid development of the , the maturity and popularity of database technologies, and the emergence of high-memory, high-performance storage devices and storage media, the amount of data generated by humans in daily learning, living, and work is growing exponentially. The big data problem is generated under such a background. It has e a hot topic in scientific research and related industry circles. As one of the most cutting-edge topics in the field of information technology, it has attracted more and more scholars to study the issue of big data.
Keywords: big data; data analysis; puting
1 Introduction
Big data is an information resource that can reflect changes in the state and state of the physical world and the spiritual world. It plexity, decision-making usefulness, high-speed growth, sparseness, and reproducibility. It generally has a variety of potential values. Based on the perspective of big data resources and management, big data is considered as an important resource that can support management decisions. Therefore, in order to effectively manage this resource and give full play to its potential value, it is necessary to study and solve such management problems as the acquisition, processing, application, definition of property rights, industrial development, and policy guarantee. Big data has the following characteri