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Big Data and Cloud Computing: An Emerging Perspective and Future Trends

机译:大数据和云计算:新兴的视角和未来趋势

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Big Data is a collection of large amount of data which is growing very rapidly with the popularity of social networking sites. The size of the Big data has been extended from terabytes to petabytes. Big data are characterized by four important attributes: volume, velocity, variety and veracity. The volume attributes describe the data at rest in the range from terabytes to Exabyte's, the velocity deals with data in motion, i.e streaming the data to respond within milliseconds rather than in seconds, the variety discuss the data in many different forms such as structured, unstructured, text and multimedia data, whereas the veracity deals with the data in doubt, i.e. uncertainty in data due to data inconsistency. These attributes of big data make it a challenge for organizations to have control over, and use such data. In today's era we are overloaded with the information, however we are lacking the insight. The 90% of the data in the world today has been created in the last two years by various social networking sites. As big data grows it challenges the capabilities of traditional data warehouses that collect and store large amounts of internal and external data. Data drawn from these repositories are used to improve decision making, increase organizational efficiencies, and improve organizational effectiveness. In this paper an attempt has been made to explore the real life application of Big Data , cloud database, Hadoop, Map Reduce and Cloud Computing, in various domains.
机译:大数据是大量数据的集合,随着社交网站的普及,越来越迅速增长。大数据的大小从Tberabytes延伸到Petabytes。大数据的特点是四个重要属性:体积,速度,品种和准确性。卷属性在Terabytes到Exabyte的范围内描述了数据的休息,速度处理运动中的数据,即将数据流式传输以在毫秒内而不是在秒内响应,而且在诸如结构化的许多不同形式中的数据讨论数据以便响应数据,非结构化,文本和多媒体数据,而那么符合疑问的数据,即由于数据不一致而导致的数据中的不确定性。这些大数据的属性使其成为组织来控制并使用此类数据的挑战。在今天的时代,我们的信息超载了这些信息,但我们缺乏洞察力。今天,世界上的90%的数据是各种社交网站的过去两年创建。随着大数据的增长,挑战传统数据仓库的功能,可以收集和存储大量内部和外部数据。从这些存储库中汲取的数据用于改善决策,提高组织效率,提高组织效率。在本文中,已经尝试探讨大数据,云数据库,Hadoop,地图减少和云计算的真实应用程序。

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