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Risk for big data in the cloud

机译:云中大数据的风险

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摘要

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.
机译:近年来,随着技术的进步,数据的生成增加了,正在生成大量的数据,这对于组织来说是一个主要问题,例如社交媒体每天都在泛滥数据,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。大数据本身描述了结构化或非结构化的海量数据,如今一天的数据来自众多来源,以至于通常的数据库系统无法处理这些数据,因此我们需要大数据,但是大数据需要巨大的保证硬件和处理资源,这使大数据变得昂贵。为了向每个用户提供大数据服务,我们从云计算中寻求帮助,云计算为大数据实现提供了更便宜的价格。云计算是一种提供共享计算资源(例如服务器,设备等)而不是拥有个人资源的技术,而云计算上的服务则通过Internet交付。

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