S. AgilanK, S. BaraneetharanP, N. Surya, M. Sujithra, P. Velvadivu
{"title":"利用Hadoop - Pig和Hive进行IPL数据分析","authors":"S. AgilanK, S. BaraneetharanP, N. Surya, M. Sujithra, P. Velvadivu","doi":"10.46610/jodmm.2020.v05i03.005","DOIUrl":null,"url":null,"abstract":"Cricket is one of the most loved and favourite sport entertainments specially in India. The Indian Premier League (IPL) is a T20 cricket league tournament held in India every year where top players from all over the world take part. It is the most celebrated and attended cricket league in the world and ranks sixth among all sports leagues. Hadoop is an open source framework which is used to store and process bigdata. Here, we have analysed and interpreted various insights from the dataset of Indian Premier League using Pig and HIVE.","PeriodicalId":43061,"journal":{"name":"International Journal of Data Mining Modelling and Management","volume":"12 2","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IPL Data Analysis using Hadoop – Pig and Hive\",\"authors\":\"S. AgilanK, S. BaraneetharanP, N. Surya, M. Sujithra, P. Velvadivu\",\"doi\":\"10.46610/jodmm.2020.v05i03.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cricket is one of the most loved and favourite sport entertainments specially in India. The Indian Premier League (IPL) is a T20 cricket league tournament held in India every year where top players from all over the world take part. It is the most celebrated and attended cricket league in the world and ranks sixth among all sports leagues. Hadoop is an open source framework which is used to store and process bigdata. Here, we have analysed and interpreted various insights from the dataset of Indian Premier League using Pig and HIVE.\",\"PeriodicalId\":43061,\"journal\":{\"name\":\"International Journal of Data Mining Modelling and Management\",\"volume\":\"12 2\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Data Mining Modelling and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46610/jodmm.2020.v05i03.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining Modelling and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/jodmm.2020.v05i03.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Cricket is one of the most loved and favourite sport entertainments specially in India. The Indian Premier League (IPL) is a T20 cricket league tournament held in India every year where top players from all over the world take part. It is the most celebrated and attended cricket league in the world and ranks sixth among all sports leagues. Hadoop is an open source framework which is used to store and process bigdata. Here, we have analysed and interpreted various insights from the dataset of Indian Premier League using Pig and HIVE.
期刊介绍：
Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. Topics covered include: -Artificial intelligence- Biomedical science- Business analytics/intelligence, process modelling- Computer science, database management systems- Data management, mining, modelling, warehousing- Engineering- Environmental science, environment (ecoinformatics)- Information systems/technology, telecommunications/networking- Management science, operations research, mathematics/statistics- Social sciences- Business/economics, (computational) finance- Healthcare, medicine, pharmaceuticals- (Computational) chemistry, biology (bioinformatics)- Sustainable mobility systems, intelligent transportation systems- National security
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