{"title":"8. 教程扬声器","authors":"M. Mohania","doi":"10.1109/DEST.2011.5936566","DOIUrl":null,"url":null,"abstract":"Cloud computing offers an exciting opportunity to bring on-demand applications to customers and is being used for delivering hosted services over the Internet and/or processing massive amount of data for business intelligence. In this tutorial, we will discuss the architecture of cloud computing, MapReduce, and Hadoop. We will then discuss how the cloud infrastructure can be used for data management services, such data cleansing, data correlation and validation, and how the massive amount of data can be processed over cloud for various business intelligence applications such as customer churn analysis, social network analysis, etc, and how the cloud can be used for ‘Active’ Data Archival for near real-time data access. We will finally discuss few applications that require cloud infrastructure for processing structured and unstructured data for business analytics.","PeriodicalId":297420,"journal":{"name":"5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"8. Tutorial speakers\",\"authors\":\"M. Mohania\",\"doi\":\"10.1109/DEST.2011.5936566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing offers an exciting opportunity to bring on-demand applications to customers and is being used for delivering hosted services over the Internet and/or processing massive amount of data for business intelligence. In this tutorial, we will discuss the architecture of cloud computing, MapReduce, and Hadoop. We will then discuss how the cloud infrastructure can be used for data management services, such data cleansing, data correlation and validation, and how the massive amount of data can be processed over cloud for various business intelligence applications such as customer churn analysis, social network analysis, etc, and how the cloud can be used for ‘Active’ Data Archival for near real-time data access. We will finally discuss few applications that require cloud infrastructure for processing structured and unstructured data for business analytics.\",\"PeriodicalId\":297420,\"journal\":{\"name\":\"5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEST.2011.5936566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEST.2011.5936566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud computing offers an exciting opportunity to bring on-demand applications to customers and is being used for delivering hosted services over the Internet and/or processing massive amount of data for business intelligence. In this tutorial, we will discuss the architecture of cloud computing, MapReduce, and Hadoop. We will then discuss how the cloud infrastructure can be used for data management services, such data cleansing, data correlation and validation, and how the massive amount of data can be processed over cloud for various business intelligence applications such as customer churn analysis, social network analysis, etc, and how the cloud can be used for ‘Active’ Data Archival for near real-time data access. We will finally discuss few applications that require cloud infrastructure for processing structured and unstructured data for business analytics.