In the definition given by McKinsey Global Institute points out that: big data is a large scale to the acquisition, storage, management, analysis is greatly beyond the scope of the traditional database software tools to the ability of the collection of data. Simply put, big data is a lot of data to the table. The unit of big data is generally measured in petabytes. So how big is a PB?1GB=1024MB, 1PB=1024GB is enough to be called big data.

Second, what kind of characteristics and structure does big data have?

Big data as a whole is divided into four characteristics,

First, a large number.

Measurement unit petabyte level, storage content more.

Second, high speed.

Big data needs to be timely and rapid in the speed of access and analysis. Ensure that more people receive information in a short period of time.

Second, diverse.

The source of the data is obtained from various channels, text data, image data, video data and so on. So the data is diverse.

Third, value.

Big data not only has its own information value, but also has commercial value. Big data in the structure is also divided into: structured, semi-structured, unstructured. Structured is simply a database, which is a two-dimensional table to logically express and realize the data. Unstructured means that the data structure is irregular or incomplete, and there is no predefined data model. Most data generated by humans is unstructured.

So what is around us that is big data?

Commonly found in productive life are telecom data: call data, SMS data, cell phone browsing data. Banking data, WeChat chat data, etc.

Finally, what can big data do?

People's lives can not be separated from it, because he plays a role in daily life gradually strengthened. For example: user profiling to help people develop personalized needs, knowledge graph. Artificial intelligence, for example: Google's "Alpha Dog" won the Go tournament, Alibaba's ET, Baidu's driverless cars, and so on. Digital currency, Internet of Things, etc.