大数据是什么意思（大数据概念）

大数据概念

Big data concept

关于什么是大数据，大数据4V可以很好的回答，大数据4V就是大数据的4个特点：数据量大（Volume)、数据类型繁多（Variety)、处理速度快（Velocity)、价值密度低（Value）。

Regarding what is big data, big data 4V can be a good answer. Big data 4V is the four characteristics of big data: large data volume (Volume), various data types (Variety), fast processing speed (Velocity), low value density (Value).

01

数据量大

Big amount of data

人类进入信息社会以后，数据以自然方式增长，其产生不以人的意志为转移。我们生活在一个“数据爆炸”的时代。随着物联网的推广和普及，各种传感器和摄像头将遍布我们工作和生活的各个角落，这些设备时刻都产生着大量数据。

After human beings enter the information society, data grows in a natural way, and its generation is not based on human will. We live in an era of "data explosion". With the promotion and popularization of the Internet of Things, various sensors and cameras will spread all over our work and life, and these devices will generate a lot of data all the time.

02

数据类别繁多

Many categories of data

大数据的数据来源众多，大数据的数据类型丰富，

包括结构化数据和非结构化数据，其中，前者占

10%左右，主要是指存储在关系数据库中的数据；后者占90%左右，种类繁多类别繁多的异构数据

，对数据处理和分析技术提出了新的挑战，也带来

新的机遇。

There are many data sources of big data, and the data types of big data are rich.

Including structured data and unstructured data, of which the former accounts for

About 10%, mainly refers to the data stored in relational databases; the latter accounts for about 90%, with a wide variety of heterogeneous data

, posed new challenges to data processing and analysis techniques, and also brought

new opportunities.

03

处理速度快

Fast processing

大数据时代的数据产生速度非常迅速。大数据时代很多应用都需要基于快速生成的数据给出实时分析结果，用于指导生产和生活实践。因此

数据处理和分析的速度通常要达到秒级响应

The speed of data generation in the era of big data is very fast. Many applications in the era of big data require real-time analysis results based on rapidly generated data to guide production and life practices. therefore

The speed of data processing and analysis usually reaches a second-level response

04

价值密度低

low value density

大数据虽然看起来很美，但价值密度却远远低于传统关系数据库中已有那些数据，在大数据时代，很多有价值的信息都是分散在海量数据中的，大数据的价值密度是较低的

Although big data looks beautiful, its value density is far lower than those existing in traditional relational databases. In the era of big data, a lot of valuable information is scattered in massive data. The value density of big data is lower

参考资料：文字：《大数据技术原理与应用》；图片：微博；翻译：谷歌翻译

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