这次我们用逆推法来研究,我们离所谓的“大数据时代”到底有多远。首先我们起码得知道,大数据是个什么东西。狭义的火数据定义其实和财政没有丝毫关系,这个定义来源于计算机领域处理信息的一种方式。我们知道想推理出一个结果,它的征明因素越多,结果推断的就越精确。所以大数槲通常包含了很多看起来毫无意义的数据,比如天气,温度等等,事无巨细。前面说的是大数据的个体定义,还有一个使用定义。这么庞大而繁杂的数据库,在平均价值上是极低的。那么就还需要一个筛选的过程。对于“人数据”(Big data)研究机构Gartner给出了这样的定义:“大数据”是需要新处理模式 This time we use the inverse method to study how far we are from the so-called Big Data Era. First of all, we must at least know that big data is a thing. The narrow definition of fire data does not really matter to finance, a definition derived from the way computers handle information. We know that to deduce a result, the more factors of its explication, the more accurate the result is deduced. Therefore, the number of mistletoe often contains a lot of seemingly meaningless data, such as the weather, temperature, etc., no size. Said earlier is the definition of individual data, there is a definition of use. Such a huge and complicated database is extremely low in average value. Then you still need a screening process. For Gartner, a big data research institute, this definition is given: “big data ” is a pattern that requires new processing