For some time now, the concept of big data has been touted as if you were left out of the big data. After cloud computing, big Data has become a hot spot in the IT industry.
As the whenever of learning statistics, because of the limitations of the times, and dare not talk too much about the mining based on the database, but many years of http://www.aliyun.com/zixun/aggregation/7314.html "> work experience has some experience." As the basis of the statistical sampling method is still the best data analysis of the preliminary, based on scientific sampling results are not more accurate than the operation of the generic data.
In recent years, the global information industry has presented a technology-oriented trend, technology companies to their own ability to show a strong social power and wealth manufacturing level, so that more and more people pay attention to tools, focus on algorithms, focus on operations, and give up the most basic analytical logic and thinking methods.
With the rapid development of IoT, cloud computing and mobile Internet applications based on personal information terminals, data volumes have exploded, with nearly 1.8Z of data a year exclaiming us. In this case, whether the product design, customer screening, marketing planning need to take a needle from the sea.
Therefore, we should try our best to make every sea, or try to use wisdom to treat it?
The world should be dialectical unity, the more the data volume, the more we need is not the ability to compute these large data, on the contrary, we should upgrade the data to refine the level of simplification.
To be sure, we have never lived in a world of large data, whether in primitive societies or in modern society, the only way to change is the existence and manifestation of information. For thousands of years ago, Konzilo and so on, the stars are large data, rivers are large data, although they do not have the hands of Heaven's spacecraft probe, but still do not hinder their ability to research and analysis, human society has not become confused and stupid.
Using database software instead of data analysis, using models and tools instead of thinking and mind, a plunge into the vast numbers of data, will not be sober judgment, only the conclusion of chaos.
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