An Implementation of Regression Model in Big Data Processing for Weather Station Data

The continuous monitoring of weather is useful to predict the upcoming weather based on the previous data. The Internet of Things is included in weather monitoring to get the data from anywhere in the world. The big data processing is the part of Internet of Things to analyze the weather station data to prepare the report for the future prediction. The regression model is the type of big data processing used to predict the future data based on the previous data. In this paper, the regression model is used for the big data processing to prepare the report as well as to predict the upcoming weather with more accuracy. The data stored in the SQL Server can be retrieved for preparing the report. The sensor DHT 22 is used to measure the Temperature and Humidity and ESP8266 is used to process the sensor data and post the same to the cloud data base