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This article introduces the relevant knowledge of "what does big data mean?" in the operation of the actual case, many people will encounter such a dilemma, and then let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Big data says now that there are many mature theories, methods and tools, which is no longer an empty slogan.

Why does it still make people feel empty? To investigate the reason, I think that although big data has a lot of applications, most of the enterprises / companies promoting "big data" can not come up with practical examples that can make people's eyes shine (but the reason is not necessarily that others do not). This leads us to know that big data is hot, because everyone is talking about its concept, its benefits, and its future, but unless you are really in this field, you rarely see an example that really makes you think, "Oh, this is big data".

What is the essence of big data?

In the final analysis, big data's hard drive has gradually become cheaper, and a lot of logs, records, and other data that had to be deleted in the past can be preserved for a long time. Data analysts think, "Hey, why not use these historical data to build a mathematical model to simulate a recent trend or predict a trend in the future?"

Personally, I think: big data analysis = machine learning + statistics (in fact, the two already overlap)

In statistics, the larger the space of the sample, the more accurate the representation of the population. This is the difference between big data's "big" and small data. In other words, the larger the amount of data, the closer the result will be to the true value under a relatively correct mathematical model.

As for analysis methods, on the one hand, some analysis methods suitable for small data will be distorted after the amount of data increases; on the other hand, if the amount of data is too large to be completed by a computer, it is naturally necessary to use special big data analysis methods and tools (such as hadoop).

That's all for "what does big data mean?" Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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