What exactly does big data do? What are the applications?

Big data is a huge amount of data, which can be considered as big data at least at TB level. Compared with traditional enterprise data, the content and structure of big data are more diverse, including value, text, video, voice, image, document, XML, HTML and so on. Can be used as the content of big data.

When it comes to big data, the most common application is big data analysis. The data source of big data analysis is not limited to the internal information system of the enterprise, but also includes data from various external systems, machinery and equipment, sensors and databases such as the government, banks, the national economy and people's livelihood, industries and social networking sites. After statistical summary of massive data by big data analysis technology and tools, the data is displayed in the form of graphs and charts to realize data visualization.

In the application part, big data not only includes data analysis of internal application systems of enterprises, but also includes deep integration with industries and industries. The application scenarios of big data analysis are industrial, and the content and analysis dimensions presented by different industries are different. Specific scenarios include: Internet industry, government industry, financial industry, real estate industry in traditional enterprises, medical care, energy, manufacturing, telecommunications industry and so on.

1. The applications of big data in the Internet industry include e-commerce, social networking, network retrieval and other fields. Users can be characterized according to sales data and customer behavior data (activity, product preference, purchase rate, etc.). ), transaction data, product collection data, after-sales data, and search data, you can recommend corresponding products for customers according to their preferences.

2. Government industries include quality inspection departments, public security departments, meteorological departments and medical departments. The quality inspection department includes information collection, verification and inspection in the whole process of commodity production, processing, logistics, trade and consumption to ensure the safety of food items; Meteorological departments can accurately predict meteorological changes, find the best solution and plan emergency rescue and disaster relief work by constructing an evaluation model of atmospheric movement law and analyzing the correlation of meteorological changes.

3. Big data analysis in the financial industry is mostly used in banking, securities, insurance and other sub-sectors. In the aspect of big data analysis, by combining various channel data, such as customer behavior data on social media, transaction data on website consumption, reservation data of customers handling business, etc., the customer base is accurately positioned by combining customer age, asset size and consumption preference, and its demand in the financial industry is analyzed.