1) The document discusses a data analysis and prediction system for meteorological data that analyzes real-time sensor data to improve weather forecasting accuracy. 2) It compares processing the data sequentially, in parallel using threads, and using the Hadoop distributed processing framework. The distributed approach overcomes limitations of the existing sequential system by reducing processing time. 3) Experimental results show the distributed Hadoop approach has shorter processing times than the sequential or parallel approaches, especially for large datasets, making it suitable for long-term weather data analysis and prediction.