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  • 标题:Weather Data Analysis Using Pyspark
  • 本地全文:下载
  • 作者:Girish Prabu Sd ; Jaya Surya S ; Monish Prakash S
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:6
  • 页码:12-17
  • DOI:10.35629/5252-030514661479
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:The weatheris very important factor in many perspectives such as business, tourism, etc.This weather data influence success of many operations. For example, temperature and rainfall in one area is not same for other area. So it is important to analyze the climatic data in different regions, for the purpose of better decision making and precaution measures. This project helps to analyze the various weather condition data of various region. Weather data are radically increasing in volume and complexity. So the concept of big data emerges here. Hadoop, Hive, Spark, Machine leaning techniques, MapReducewhich are big data concepts are used here to analyze the weather data for the purpose of better understanding and decision-making.The main Objective is toanalyze the climatic data using Hadoop to extract significant knowledge for the purpose of better decision-making.
  • 关键词:Big data;Weather data;Machine learning;clustering;Hadoop;Hive;Spark;MapReduce
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