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This article mainly explains "what is the definition and characteristics of big data". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what is the definition and characteristics of big data"?

When the computer was just born, its purpose was to help people solve the problem of computing amount of large data. The computer increased the computing power of large data many times and solved the bottleneck of people's ability to deal with data. However, with the development of social informatization, the network has promoted people's lives to a faster level. In particular, the problem is that people produce more and more information and data in their daily life, and the ability of the existing computer equipment is very difficult to deal with these data, or it can be processed but takes a very long time to deal with, and in this information society, time is money, and too long processing time will affect the strategic activities of the company or enterprise and even the life arrangement of individuals. Big data's concept came into being in response to the trend of the times.

Big data's definition:

Big data is a data collection that can not use the existing conventional tools to obtain, manage and analyze the content of the data within a certain period of time. The corresponding is big data technology, which refers to the ability to quickly mine valuable information from various types of data, including parallel databases, cloud computing, distributed file systems, data mining and so on.

In 2001, Doug Laney, an analyst at the Matta Group (Gartner), pointed out that the challenges and opportunities for data growth have three directions: volume (Volume, data size), speed (Velocity, speed of data input and output) and variability (Variety, diversity), collectively known as "3V" or "3Vs". In 2012, Gartner revised the definition of big data: "big data is a massive, high-speed, and / or ever-changing information asset that requires new processing methods to promote stronger decision-making ability, insight and optimization." In addition, some institutions define the fourth V beyond 3V: authenticity (Veracity) is the fourth feature.

In the same year, the United States began to study big data, and Obama invested 200 million US dollars in the development of big data. He stressed that big data will be the oil of the future, which is enough to reflect big data's position in the future.

The characteristics of big data:

In today's society, big data has the following four characteristics

1. The amount of information is particularly huge: according to the statistics of companies such as Baidu and Google, their websites generate PB-level data every day, while the amount of data produced by humans in all printed materials is only 200PB.

2. A variety of data types: with the development of modern society, data types include not only document materials, but also pictures, videos, shopping information, geographical location and so on.

3. fast processing speed, today's world is a rapidly developing society, time is money, data processing is to quickly obtain high-value information from various types of data in the fastest time.

4. low value density: a large number of data and the diversification of data, the resulting problem is that the value density of data is low, it is possible that only a few pieces of data are really valuable in many data.

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