{"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}
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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.
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8. 教程扬声器
云计算提供了一个令人兴奋的机会,为客户提供按需应用程序,并被用于通过互联网交付托管服务和/或处理大量数据以实现商业智能。在本教程中,我们将讨论云计算、MapReduce和Hadoop的架构。然后,我们将讨论如何将云基础设施用于数据管理服务,如数据清理、数据关联和验证,以及如何在云上处理大量数据,以用于各种商业智能应用程序,如客户流失分析、社交网络分析等,以及如何将云用于“活动”数据存档,以实现近实时数据访问。最后,我们将讨论一些需要云基础设施来处理结构化和非结构化数据以进行业务分析的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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