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Big Data: Driving Smart Cities into the Future

Big Data: Promoting Smart Cities into the Future

A large part of the study of big data comes from business intelligence analysis, with the development of IT technology, people can access information and data, the types of information and data are more and more, the original business analysis methods have been unable to adapt to the situation brought about by the explosion of information. Big data technology therefore came into being, it can be said that big data is not only a way of data processing, but also a way of thinking innovation, which represents a completely different information and data processing methods and ways of thinking. This way for business intelligence analysis has brought new changes, get rid of the previous only care about the causal relationship of the analysis mode, and the correlation relationship and other relatively fuzzy, but more predictive and guiding data relationship into the business analysis.

The birth of big data technology and concepts has taken less than a decade, but it has been accompanied by the gradual development and maturation of smart cities. Smart city builders have found that big data technologies and thinking are almost inherently born for smart cities. Big data technology relies on a huge data source, which is a large number of different types of data and information brought about by the deepening of the degree of informatization in the construction of smart cities. One of the goals of smart city construction is to realize the intelligent operation of the city, and big data can provide data analysis results to support intelligent operation.

In the various fields of the smart city, the more extensive use of big data analysis technology, I am afraid to count the urban traffic management, can affect the overall situation of urban traffic factors are very many, the weather, roads, vehicles, drivers, holidays and even oil prices, prices, may directly or indirectly affect the traffic situation of a city or a region. Intelligent transportation big data analysis, has been many large cities at home and abroad to manage and regulate the traffic situation must be the way, the significance of which is not only to predict the results, improve the traffic situation, and more importantly, is to bring decision makers a fresh way of thinking: the use of the known present to predict the unknown future. With the popularity of intelligent transportation, big data is also in all aspects of people's lives, the way of travel, through the uploading of data, *** enjoy the data, share the results of the data processing, the formation of the prediction of the traffic situation and prediction, so as to better regulate and intervene in the traffic situation, so as to gradually improve and solve all kinds of traffic problems.

The author's Shanghai Internet Software Co., Ltd. recently set up a joint laboratory for big data application research with Donghua University, and is now studying the use of big data technology for comprehensive management of students in colleges and universities and providing corresponding services. This is a typical educational big data application in the domestic research in the field of intelligent education, which realizes comprehensive service and management of students on the basis of student data integration and unified storage, and provides all-around analysis based on data information to provide cloud services for comprehensive management of students for all levels of units in colleges and universities to enhance the overall management effectiveness of the school. As the construction of domestic colleges and universities is increasingly developing in the direction of centralized, comprehensive and all-discipline, mega colleges and universities or comprehensive college parks keep appearing, and the number of college and university students keeps growing, a university or a university town is basically a small city, and all kinds of data and information on learning, living, teaching affairs and daily management of the student-oriented population naturally form a huge collection of data, and the application of big data technology Its management, analysis and operation is undoubtedly the best means to realize the *** enjoyment and intensive, standardized management of educational resources, comprehensively display and analyze students' behavior, and enhance the level and efficiency of student management and services.

In addition, in the field of intelligent medical care, such as the diagnosis and treatment of some serious diseases, big data technology is also being used in data analysis and prediction. Earlier, there are news reports, a well-known domestic IT companies and medical research institutions to join hands, for the esophageal cancer gene detection related research. Both parties are committed to promoting cancer research through big data and artificial intelligence methods, discovering markers for early diagnosis of esophageal cancer that are closely related to Chinese people, providing scientific basis for early screening and diagnosis, and providing reference for drug development. In-depth medical research on major diseases such as cancer often requires whole genome sequencing and comparison, during which a large amount of data will be generated, and the storage, biological analysis, and clinical relevance analysis of these data require huge data storage and computing power. Big data technology has the advantage of storing, retrieving and intelligently analyzing such biological information.

It can be seen that big data in the construction of the smart city is a technology that is adapted to various links and fields and has unlimited potential. The revolutionary way of using data and information brought by big data technology will promote the development and maturity of intelligent technology including artificial intelligence. Looking ahead, based on the data analysis and prediction brought about by big data and other technologies, smart cities may be able to operate and manage on their own without excessive human intervention and monitoring. By then, what smart cities will bring us is not just a deepening of informatization, but a city of the future that enters the era of full intelligence and has the ability to think on its own.

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