The basic characteristics of data do not include holistic .

Big data, an IT industry term, is a collection of data that cannot be captured, managed, and processed within a certain time frame using conventional software tools. It is a collection of data that cannot be managed and processed by conventional software tools within a given timeframe, and that requires new processing models in order to have greater decision-making power. It is a massive, high-growth and diverse information asset that requires new processing models to enable greater decision-making, insight discovery and process optimization. High growth rates and diverse information assets.

Expanding Knowledge

What is Big Data? In fact, it is very simple, big data is actually a huge amount of information huge amount of information, these huge amounts of information from the world at any time to generate data, in the era of big data, any tiny data may produce incredible value. Big data has four characteristics, for example: Volume (Volume), Variety (Variety), Velocity (high speed), Value (value), generally we call it 4V.

The strategic significance of the big data technology does not lie in the mastery of the huge amount of information about the data, but rather in the data containing the significance of these specialized processing. In other words, if big data is compared to an industry, then the key to profitability of this industry lies in improving the "processing capacity" of the data, and realizing the "value-added" of the data through "processing". "

Applications of big data

1, business: through the analysis of a large amount of consumer data, you can understand the market trend, predict the change of sales volume and demand, and then formulate a more effective marketing strategy.

2, health care: the use of big data can be more accurate diagnosis and treatment of diseases, such as genomics, bioinformatics and other technologies of the rapid development of individualized treatment possible.

3. Transportation: By using sensors and other devices to collect traffic data, it is possible to monitor and optimize real-time road conditions and reduce the risk of congestion and accidents.

4, education: through the analysis of student data, it is possible to understand the learning situation and characteristics of students, and provide students with more personalized learning programs and guidance.

5. Government services: By integrating and analyzing public ****data, the government can better understand social issues and public opinion, and formulate reasonable policies and measures in a timely manner to improve the efficiency of government services and the well-being of people.