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首页> 外文期刊>International Journal on Informatics Visualization: JOIV >Big Data: Definition, Architecture & Applications
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Big Data: Definition, Architecture & Applications

机译：大数据：定义，体系结构和应用

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摘要

Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. In this paper; Firstly, we will discuss what big data and how it is defined according to different sources; Secondly, what are the characteristics of big data and where should it be used; Thirdly, the architecture of big data is discussed along with the different models of Big data; Fourthly, what are some potential applications of big data and how will it make the job easier for the persisting machines and users; Finally, we will discuss the future of Big data.
机译：大数据是具有大，更改和复杂结构的大规模数据集的术语，具有存储，分析和可视化进一步的过程或结果的困难。研究大量数据的研究进程，以揭示名为Big Data Analytics的隐藏模式和秘密相关性。这些有用的信息在公司或组织的帮助下，在获得更丰富和更深入的洞察力和对竞争中获得优势的帮助。因此，需要尽可能准确地分析和执行大数据实现。在本文中;首先，我们将讨论什么大数据以及如何根据不同来源定义;其次，大数据的特征是什么，应该使用它;第三，与大数据的不同模型一起讨论了大数据的体系结构;第四，大数据的一些潜在应用以及如何使工作更容易持久的机器和用户;最后，我们将讨论大数据的未来。

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