大数据的广义形式化模型
Generalized formal model of big data
摘要：
本文详细介绍了大数据技术的基本特征。分析了现有的“大数据”术语的定义。本文提出并描述了大数据广义形式模型的元素。分析了所提出的模型组件的应用特点。它描述了大数据技术和业务分析之间的根本区别。大数据由分布式文件系统Google文件系统技术、Cassandra、HBase、Lustre和MapReduce以及Hadoop编程结构和许多其他解决方案提供支持。根据麦肯锡研究所等专家的说法，在大数据的影响下，制造业，医疗保健，贸易，个人运动的管理和控制都发生了变化。
英文摘要：
This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the "big data" term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model components. It described the fundamental differences between Big Data technology and business analytics. Big Data is supported by the distributed file system Google File System technology, Cassandra, HBase, Lustre and ZFS, by the MapReduce and Hadoop programming constructs and many other solutions. According to the experts, such as McKinsey Institute, the manufacturing, healthcare, trade, administration and control of individual movements undergo the transformations under the influence of the Big Data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
