Weather Data Analytics Using Hadoop with Map-Reduce

摘要

Big data describes a huge quantity of data which requires new technologies to make potential to get value from it by analysis and capturing method. In many aspects of life the weather is very critical for persons. For accurate analysis of weather, collecting, storing and processing a huge volume of weather data is needed. In agriculture sector, tourism sector and government agencies the weather forecasting has a lot of importance. A few knowledge of weather which is very helpful for human to prepare themselves for any unwanted condition of climate. In the analysis of weather conditions different some weather parameters plays an vital role such parameters are like temperature, pressure, wind speed and humidity etc. Big Data analyze the huge data-sets also it processes a large amount of data and process that data accurately. Weather analytics is the technology which shows the behavior of the environment for a particular given area. This paper presents the significant amount of data which loaded into Hadoop Distributed File System (HDFS), and it utilizes mapper and reducer function to process that data and final output will get in the form of average temperature of a particular city or location.