In the era of big data, data has penetrated into every industry and business function area today and has become an important production factor.

People's mining and application of massive data heralds the arrival of a new wave of productivity growth and consumer surplus.

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

Entering 2012, the term big data is being mentioned more and more. People use it to describe and define the massive amounts of data generated in the era of information explosion, and to name the related technological developments and

Innovation.

The era of big data has appeared on the column covers of the New York Times and the Wall Street Journal, entered the news on the official website of the White House, appeared in some domestic Internet-themed lecture salons, and was even used by the sensitive companies such as China International Finance Securities, Guotai Junan, and Galaxy Securities.

Wait for it to be written into the investment recommendation report.

Extended information: Characteristics of the big data era: 1. Large amount of data (Volume) The first characteristic is the large amount of data.

The starting measurement unit of big data is at least P (1000 T), E (1 million T) or Z (1 billion T).

2. Variety The second feature is the variety of data types.

Including web logs, audio, video, pictures, geographical location information, etc., multiple types of data put forward higher requirements for data processing capabilities.

3. Low value density (Value) The third characteristic is that the data value density is relatively low.

For example, with the widespread application of the Internet of Things, information perception is ubiquitous, and information is massive, but the value density is low. How to "purify" the value of data more quickly through powerful machine algorithms is an urgent problem to be solved in the era of big data.

4. Fast speed and high timeliness (Velocity) The fourth feature is fast processing speed and high timeliness requirements.

This is the most significant feature that distinguishes big data from traditional data mining.

Baidu Encyclopedia-Big Data Era