Briefly describe the four characteristics of big data

Four characteristics of big data: 1. Huge volume of data; 2. Various data types; 3. Low value density; 4. Fast processing speed.

Four characteristics of big data:

First, the data volume is huge (Volume).

As of now, the data volume of all printed materials produced by humans is 200PB (1PB=210TB), while the data volume of all the words spoken by all humans in history is approximately 5EB (1EB=210PB). Currently, the capacity of a typical personal computer hard drive is on the order of TB, while the data volume of some large enterprises is close to the level of EB.

The second is the variety of data types.

This type of diversity also allows data to be divided into structured data and unstructured data. Compared with the text-based structured data that was easy to store in the past, there are more and more unstructured data, including web logs, audio, video, pictures, geographical location information, etc. These multiple types of data pose challenges to the data processing capabilities. higher requirements.

The third is low value density (Value).

The value density is inversely proportional to the total amount of data. Take video as an example. For a one-hour video, under continuous and uninterrupted monitoring, the useful data may only be one or two seconds. How to "purify" the value of data more quickly through powerful machine algorithms has become an urgent problem to be solved in the current context of big data.

Fourth is fast processing speed (Velocity).

This is the most significant feature that distinguishes big data from traditional data mining. According to IDC's "Digital Universe" report, global data usage is expected to reach 35.2ZB by 2020. In the face of such massive data, the efficiency of data processing is the life of an enterprise.

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