大数据、云计算技术与审计外文文献翻译最新译文

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外文文献翻译:原文+译文

文献出处:Chaudhuri S. Big data,cloud computing technology and the audit[J]. IT Professional Magazine, 2016, 2(4): 38-51.

原文

Big data,cloud computing technology and the audit

Chaudhuri S

Abstract

At present, large data along with the development of cloud computing technology, is a significant impact on global economic and social life. Big data and cloud computing technology to modern audit provides a new technology and method of auditing organizations and audit personnel to grasp the big data, content and characteristics of cloud computing technology, to promote the further development of the modern audit technology and method.

Keywords: big data, cloud computing technology, audit, advice

1 Related concept

1.1 Large data

The word "data" (data) is the meaning of "known" in Latin, can also be interpreted as "fact”. In 2009, the concept of “big data” gradually begins to spread in society. The concept of "big data" truly become popular, it is because the Obama administration in 2012 high-profile announced its "big data research and development plan”. It marks the era of "big data" really began to enter the social economic life.” Big data" (big data), or "huge amounts of data, refers to the amount of data involved too big to use the current mainstream software tools, in a certain period of time to realize collection, analysis, processing, or converted to help decision-makers decision-making information available. Internet data center (IDC) said "big data" is for the sake of more economical, more efficient from high frequency, large capacity, different structures and types of data to derive value and design of a new generation of architecture and technology, and use it to describe and define the information explosion times produce huge amounts of data, and name the related technology development and innovation. Big data has four characteristics: first, the data volume is huge, jumped from TB level to the level of PB.Second, processing speed, the traditional

data mining technology are fundamentally different. Third, many data types’pictures, location information, video, web logs, and other forms. Fourth, the value of low density, high commercial value.

1.2 Cloud computing

"Cloud computing" concept was created in large Internet companies such as Google and IBM handle huge amounts of data in practice. On August 9, 2006, Google CEO Eric Schmidt (Eric Schmidt) in the search engine assembly for the first time put forward the concept of "cloud computing”. In October 2007, Google and IBM began in the United States university campus to promote cloud computing technology plan, the project hope to reduce the cost of distributed computing technology in academic research, and provide the related hardware and software equipment for these universities and technical support (Michael Mille, 2009).The world there are many about the definition of "cloud computing”.” Cloud computing" is the increase of the related services based on Internet, use and delivery mode, is through the Internet to provide dynamic easy extension and often virtualized resources. American national standards institute of technology (NIST) in 2009 about cloud computing is defined as: "cloud computing is a kind of pay by usage pattern, this pattern provides available, convenient, on-demand network access, enter the configurable computing resources Shared pool resources (including network, servers, storage, applications, services, etc.), these resources can be quick to provide, just in the management of the very few and or little interaction with service providers."

1.3 The relationship between big data and cloud computing

Overall, big data and cloud computing are complementary to each other. Big data mainly focus on the actual business, focus on "data", provide the technology and methods of data collection, mining and analysis, and emphasizes the data storage capacity. Cloud computing focuses on "computing", pay attention to IT infrastructure, providing IT solutions, emphasizes the ability to calculate, the data processing ability. If there is no large data storage of data, so the cloud computing ability strong again, also hard to find a place; If there is no cloud computing ability of data processing, the big data storage of data rich again, and ultimately, used in practice. From a technical point of view, large data relies on the cloud computing. Huge amounts of data storage technology, massive data management technology, graphs programming model is the key technology of cloud computing, are also big data technology base. And the data will be "big", the

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