What is the era of big data?

The era of big data is data, which has penetrated into every industry and business functional field and become an important production factor. People's mining and application of massive data indicates a new wave of productivity growth and the arrival of consumer surplus.

"Big data" exists in physics, biology, environmental ecology and other fields, as well as in military, finance, communications and other industries, but it has attracted people's attention because of its development from the Internet and information industry.

The word 20 12 big data has been mentioned more and more. People use it to describe and define the coming evidence of the era of massive data, and to name the related technological development and innovation.

In the era of big data, it has appeared on the cover of the column of The New York Times Wall Street Journal, entered the news of official website in the White House, appeared in some lecture salons with Internet themes in China, and even been written into the investment recommendation report by the sensitive smell of Guo Jin Securities, Guotai Junan and Galaxy Securities.

Extended data:

Characteristics of the era of big data:

1, large amount of data.

The first feature is the large amount of data. The starting unit of big data measurement is at least P( 1000 t), e (1000t) or z (1000t).

2. diversification.

The second feature is the diversity of data types. Include weblogs, audio, video, pictures, geographical location information, etc. All kinds of data put forward higher requirements for data processing ability.

3. Low Value density (value)

The third feature is that the data value density is relatively low. For example, with the wide application of the Internet of Things, information perception is everywhere, and there is a huge amount of information, but the value density is low. How to "purify" the value of data faster through powerful machine algorithms is an urgent problem to be solved in the era of big data.

4. Fast speed and high timeliness (turnover rate)

The fourth feature is fast processing speed and high timeliness requirements. This is the most striking feature that distinguishes big data from traditional data mining.

Baidu Encyclopedia-Big Data Era