Big data is the huge amount of data, which contains a wealth of information and value. Big data has three characteristics: bigger volume, faster speed and more variety. Larger volume refers to the huge amount of data, data from a wide range of sources, a wide variety of data, including structured data and unstructured data and so on. Faster refers to the speed of data generation and processing speed, the rapid development of modern technology, the rise of social media and the popularization of the Internet, the volume of data and the processing speed are explosive growth. More variety is reflected in the diversity and complexity of data, such as data processing, analysis and mining.
Big data has the potential and value of data analysis and mining, and it has a wide range of applications in the fields of business, government and society, such as market research, risk management, healthcare, and urban intelligence. Through big data analysis, more in-depth market analysis, product design, service positioning and other more accurate decisions can be derived. At the same time, big data also provides a better decision-making basis for governmental public **** services, such as traffic management and environmental monitoring. In addition, through big data mining, some interesting laws and phenomena can be found, and can even be used for scientific and technological research.
What are the remaining challenges in the application of big data?
With the continuous emergence and application of big data, there are also some challenges and problems, on the one hand, the technical bottleneck of data analysis and processing; on the other hand, the sensitivity to conserve and protect the data as well as the security of the processing, such as privacy protection, data leakage and so on. Therefore, we need to carry out special cooperation and discussion at the level of technological innovation and policies and regulations to ****together solve these practical difficulties in order to realize the comprehensive application of big data.