{"title":"对大规模数据分析和从数据中发现知识的架构和平台的现状进行简短的调查","authors":"Edmon Begoli","doi":"10.1145/2361999.2362039","DOIUrl":null,"url":null,"abstract":"Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data\",\"authors\":\"Edmon Begoli\",\"doi\":\"10.1145/2361999.2362039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.\",\"PeriodicalId\":116686,\"journal\":{\"name\":\"Proceedings of the WICSA/ECSA 2012 Companion Volume\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the WICSA/ECSA 2012 Companion Volume\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2361999.2362039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the WICSA/ECSA 2012 Companion Volume","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2361999.2362039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data
Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.