1, applied to energy
With the acceleration of industrialization, a large number of greenhouse gas emissions, the global climate has changed, so it is particularly important to promote low-carbon environmental protection. The application of big data technology to the energy sector can make a great contribution to low carbon. Low-carbon energy big data is mainly composed of four modules: energy information collection, energy distributed operation, energy data statistical analysis, and energy scheduling. Through these four modules, energy production and energy management can be realized scientifically, automatically and efficiently to achieve energy saving.
2, medical applications
The application of big data in the medical field is mainly through the collection and analysis of big data for disease prevention and treatment. When a patient wears a big data device, the device can collect meaningful data. Through big data analysis, the physiological state of patients can be monitored, thus helping doctors treat patients in a timely, accurate and effective manner. According to Xinhua, big data analytics can allow us to decode entire DNA in minutes, find new treatments, and better understand and predict disease patterns.
3. For the financial industry
The main application of big data in the financial industry is financial transactions. Many equity transactions are conducted using big data algorithms, which can quickly decide whether to sell a commodity or not, making the transaction more concise and accurate. In this era of big data, it is especially important to seize market opportunities and quickly realize big data business model innovation.
4, applied to geographic information
Geographic Information System (GIS) needs to process relevant spatial information in a timely manner, as well as a large amount of stored data and work tasks. Reasonable application of big data technology to GIS can not only process geographic information in a timely manner, but also improve the accuracy of the processing results.
5, applied to consumption
In order to stand firm in the future market, the establishment of large databases, making full use of big data technology is particularly important. Taobao, Jingdong and other enterprises will automatically record user transaction data through big data technology, analyze and record user credit, forming a long-term huge database, providing credit and risk control data for the subsequent financial business layout.
6, applied to the manufacturing industry
Big data affects productivity, making machines and equipment more intelligent and autonomous in their application, making the production process more concise, accurate and safe, and improving production capacity. In addition, big data technology can help companies understand customer preferences so that they can produce products that the market needs.
About how to use big data to solve the problems in life, Qingteng Xiaobo will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.