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Big data is massive structured data?
Big data refers to the collection of data that can not be captured, managed and processed within a certain timeframe with conventional software tools, is the need for a new processing model to zhuan with stronger decision-making, insight discovery and process optimization capabilities of the massive, high-growth rate and diversified information assets, in simple terms, big data is massive data, is a large amount of data, a wide range of sources, and a wide range of types (logs, video, audio), as large as the petabyte level, the framework at this stage is to address the petabyte level of data.

The 7 characteristics of big data: massive, diverse, high-speed, variable, real, complex, and valuable

With the development of the big data industry, it has gradually evolved from a high-end, theoretical concept to a concrete, practical idea.

In many cases big data comes from life. For example, you order takeout, ready to when to buy, where your location, the location of the merchant, what do you want to eat ...... This is all data, the more people a variety of information, the more, but also growing, to centralize this information, is big data.

The value of big data is not in these data, but in the hidden behind the data - the user's preferences, habits and information.