大数据（big data）具有5V的特点，指的是哪些呢？
大数据（big data）具有5V的特点，指的是哪些呢？
参考答案和解析
Volume - 大量化,那么什么又算是大量化?正常的计算机处理4g数据需要4分钟的时间,处理1TB需要3个小时的时间,而达到1Pb的数据需要4个月零3天的时间,只有达到pb以上的数据才可以被称之为大数据; Variety - 多样化, 如果一定要把数据分类,最简单的方法是分两类,结构化与非结构化。随着互联网和物联网的发展,又扩展到网页、社交媒体、感知数据,涵盖音频、图片、视频、模拟信号等等,真正诠释了数据的多样性; Velocity - 高速化,什么又称之为高速?就上面的例子而言就处理1PB的数据不到1秒就可以实现,这就是高速,为什么要有高速,是因为数据也是有一个时效性的,超过了这个时间这个数据就会失去其作用; Veracity - 真实性, 大数据中的内容是与真实世界中的发生息息相关的,研究大数据就是从庞大的网络数据中提取出能够解释和预测现实事件的过程; Value - 价值化, 就是获取有价值的数据,如果用行业来类比大数据分析,那么在互联网金融领域甚至整个互联网行业中,最重要的并不是如何炼油,而是如何获得优质原油。
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