Risk for big data in the cloud

Nayan Chitransh, C. Mehrotra, A. Singh
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引用次数: 1

Abstract

With a lot of technological advancements in recent years the data generation has increased as an outcome, large amount of data is being generated which is a major issue to the organization, as an example social media is flooding data each day, which is unmanageable. Here in this paper we would discuss the various risks and issues which are associated with big data. Big Data as itself describes the large volume of data, either structured or unstructured, in now a day's data came from so many sources that usual database systems are not able to handle that data so we need Big Data, but Big Data requires a huge assurance of hardware and processing resources which make Big Data costly. In order to provide Big Data services to every user we take help form Cloud computing which offer Big Data implementation cheaper. Cloud Computing is a technology which offers sharing of computing resources such as servers, devices etc instead of having personal one, services over Cloud Computing are delivered via Internet.
云中的大数据风险
随着近年来技术的进步,数据的产生也随之增加,大量的数据正在产生,这对组织来说是一个重大问题,例如,社交媒体每天都在产生大量的数据,这是难以管理的。在本文中,我们将讨论与大数据相关的各种风险和问题。大数据本身描述了大量的数据,无论是结构化的还是非结构化的,现在每天的数据来自如此多的来源,通常的数据库系统无法处理这些数据,所以我们需要大数据,但是大数据需要巨大的硬件保证和处理资源,这使得大数据成本很高。为了向每一个用户提供大数据服务,我们借助云计算的帮助,使大数据实现更便宜。云计算是一种提供共享计算资源的技术,如服务器、设备等,而不是个人的,云计算上的服务通过互联网提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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