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

P. Yadav, Sanjiv Sharma, Amarkant Singh
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Abstract

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.
大数据和云计算:一个新兴的视角和未来趋势
大数据是大量数据的集合,随着社交网站的普及,大数据的增长非常迅速。大数据的规模已经从tb级扩展到pb级。大数据具有四个重要属性:体积、速度、种类和准确性。体积属性描述了从tb到Exabyte的静态数据,速度处理运动中的数据,即在毫秒而不是秒内流式处理数据,多样性讨论了许多不同形式的数据,如结构化、非结构化、文本和多媒体数据,而准确性处理数据的不确定性,即由于数据不一致而导致的数据的不确定性。大数据的这些属性给组织控制和使用这些数据带来了挑战。在当今时代,我们被信息超载,但我们缺乏洞察力。当今世界上90%的数据是在过去两年中由各种社交网站创建的。随着大数据的增长,它对传统数据仓库收集和存储大量内部和外部数据的能力提出了挑战。从这些存储库中提取的数据用于改进决策制定、提高组织效率和提高组织有效性。本文尝试探索大数据、云数据库、Hadoop、Map Reduce和云计算在各个领域的实际应用。
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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