The applications of big data in life include: 1. Agricultural Internet; 2. Financial Internet; 3. E-commerce; 4. Medical device industry; 5. Big data in retail industry; 6. Biotechnology, etc.
The operating environment of this tutorial: Windows 10 system, Dell G3 computer.
Various data collection capabilities such as government data sharing and Internet of Things data collection are constantly improving. Technologies such as cloud computing and artificial intelligence provide capabilities for further development of data storage and processing. More agile, smarter, more integrated, and more secure data analysis and intelligent tools will become the main needs of enterprises.
Application of Big Data in Life
1. Agricultural Internet
The application of agricultural Internet big data in agriculture and animal husbandry mainly refers to the production of animal husbandry products based on the analysis of future commercial needs, so as to reduce the chance of low prices hurting farmers.
2. Financial Industry Internet
3. E-commerce
4. Medical device industry
##Medical device industry The medical device industry has many medical records, pathology Reports, recovery plans, drug reports, etc. In the future, with the help of data management platforms, people can collect different medical records and treatment plans, as well as patient characteristics, and create a database of disease characteristics.
##The application of big data in retail industry has two aspects. One aspect is that the retail industry can understand customer consumption preferences and trends, carry out big data marketing of products, and reduce marketing and promotion costs. The other aspect is to provide customers with other products they will buy according to their purchase of products, so as to increase sales, which also belongs to the aspect of big data marketing. In addition, the retail industry can grasp future consumption trends through Internet big data, which is beneficial to the acquisition management of hot-selling products and the processing of out-of-season goods.
6. Biotechnology
##The key to biotechnology is the application of cloud computing technology in genetic analysis Application, through the data platform, people can record and store the results of genetic analysis of themselves and plants, and use the genetic database query of cloud computing technology to create application scenarios. Cloud computing technology will accelerate scientific research on genetic technology and quickly assist scientists in creating models and simulating genetic composition. Recommended learning:
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