Weather Data Analysis using Hadoop to Mitigate Event Planning Disasters
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Authors
Almgren, Khaled
Alshahrani, Saud
Lee, Jeongkyu
Issue Date
2015-01-27
Type
Presentation
Language
en_US
Keywords
Weather data , Big data , Hadoop , Event planning
Alternative Title
Abstract
This poster presents the design and implementation of weather data analysis using Hadoop distributed system, which can be used for planning outdoor events. The proposed event planning system decides how many appropriate days for outdoor events and activities per month for a different attractive cities based on the analysis of historical weather data. All collected data are stored at HDFS, i.e., Hadoop Distributed File System, and then they are processed and analyzed by using MapReduce programming. As results, we can discover useful information about event planning, such as locations (city), time and statistical data.