大数据分析分析

Vijander Singh, Amit Kumar Bairwa, Deepak Sinwar
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引用次数: 3

摘要

在发达世界的发展中,每秒钟都有许多领域产生信息,如天文学、社会场所、医疗领域、交通、基于网络的商业、逻辑研究、园艺、视频和声音下载。根据概览,在60秒内,YouTube上有600多个新客户,谷歌上有70亿次查询。通过这种方式,我们可以说,每秒在网络世界中产生大量有组织、无组织和半组织的信息,这些信息应该得到有效的管理。大数据具有不可预测性、“V”因子、多变量信息等属性,必须储存、回收和分散。逻辑排列的数据可以作为信息在数字世界中发挥作用。在过去的一个世纪里,关于尺寸的数据来源非常有限,可以用笔和纸来管理。下一代数据生成工具包括Microsoft Excel、Access以及SQL、MySQL和DB2等数据库工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis of Big Data Analytics
In the development of the advanced world, information has been created each second in numerous regions like astronomy, social locales, medical fields, transportation, web-based business, logical research, horticulture, video, and sound download. As per an overview, in 60 seconds, 600+ new clients on YouTube and 7 billion queries are executed on Google. In this way, we can say that the immense measure of organized, unstructured, and semi-organized information are produced each second around the cyber world, which should be managed efficiently. Big data conveys properties such as unpredictability, 'V' factor, multivariable information, and it must be put away, recovered, and dispersed. Logical arranged data may work as information in the field of digital world. In the past century, the sources of data as to size were very limited and could be managed using pen and paper. The next generation of data generation tools include Microsoft Excel, Access, and database tools like SQL, MySQL, and DB2.
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