Characteristics（4V） for Big data

To some extent, big data is a cutting-edge technology of data analysis. That, in a nutshell, is the ability to quickly obtain valuable information from various types of data. Of course, it is this point to promote the development of enterprises by such technology.

In 2001, the analyst Doug Leni from Gartner pointed out that there are 3 direction challenges and  opportunities for the growth data: Volume, how many data; Velocity, data input and output speed; Varirty, data diversity; Value, low value density.

Volume

The core network node is a person in the mobile Internet, no longer a web page, everyone can produce data in anywhere. Data can come from automated sensors, automatic recording facilities, production monitoring, environmental monitoring, and automated process recording like POS, ETC, etc. It is estimated that the global data centre may reach to 8.6 million.

Variety

In the big data era, data format has become more and more diverse, covering text, images, audio, video, analog signal and so on; Data also come from diversified sources, not only produced in the inner working organization, but also from the outside.

Velocity

The chief engineer Wu Gansha of China Intel research institute believes that the high speed of big data is the major difference compared with the traditional data mining technology. Big data is the real-time processing and real-time results oriented solutions. And it has the two following levels.

First, faster production. Some data with the explosive production, and some with slowly production.

Second, faster processing. Big data has two processing paradigm about processing batch and stream processing to realize the fast data processing.

Value

The importance of data lies in the support of the decision. But the data scale can not decide whether they can provide help for decision-making, the authenticity and quality of data is the most important factors to obtain knowledge and ideas, also is the most solid foundation to make successful decisions.

The industry professionals expand the basic characteristics of big data from 4V to 11V， including visualization，validity and so on. How to achieve the value of data through the powerful machine algorithm, which is an emerging problem to be solved in big data era.