Abstract
In order to better monitor and manage the real-time transmission of meteorological information in Guangdong Province and improve communication quality, the Guangdong Meteorological Information Center has organized the development of the Guangdong Meteorological Data Analysis System. The system has the characteristics of intuitive and easy to use, strong real-time performance, and convenient query and statistics, which better meets the real-time monitoring and time management requirements of meteorological information transmission in Guangdong Province. Hadoop is a popular big data computing oriented, open-source big data processing system. Its characteristics of high throughput, high fault tolerance and easy expansion make it widely used in all walks of life. Therefore, this article focuses on the characteristics of real-time reception of meteorological information in Guangdong Province, and introduces the development ideas, use of some new technologies, and page implementation of the Guangdong Meteorological Data Analysis System under Hadoop environment. In the Hadoop environment, it is possible to dynamically exchange data with the server without refreshing the entire page, improving the efficiency of data transmission between the server and client, making browsing more intuitive and convenient. Enriched the methods and capabilities of data processing.
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