Review Paper Weather Data Management using hadoop in Zimbabwe

Meteorological Services Department (ZMSD) in Zimbabwe is experiencing high costs in transmitting daily data due to different formats of data from its diverse models of automatic weather stations to the centralized database at Head Office (HO) Belvedere in Harare. The current configuration makes MSD less competitive and efficient its weather data management posture. However, surveys indicate that emerging technologies of big data analytics such as Hadoop MapReduce can be extended into weather data management offering multiplicity of functions that includes: prediction, management of transmission of data and also managing the range of weather elements to monitor at anytime and anywhere. This paper reviews on how weather data is transmitted, processed and stored.