高性能分析的趋势

Proceedings of the 2006 ACM SIGMOD international conference on Management of data Pub Date : 2006-06-27 DOI:10.1145/1142473.1142559

Yossi Matias

{"title":"高性能分析的趋势","authors":"Yossi Matias","doi":"10.1145/1142473.1142559","DOIUrl":null,"url":null,"abstract":"With the proliferation of analytic and business intelligence applications, and with the persistent growth in data sizes, there is an ever increasing need to support high performance analytics. This talk will present recent technological trends in addressing this need, and will particularly highlight the approach of facilitating high performance analytics in a relational database via a novel dichotomous combination with a non-relational aggregation-server.","PeriodicalId":416090,"journal":{"name":"Proceedings of the 2006 ACM SIGMOD international conference on Management of data","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Trends in high performance analytics\",\"authors\":\"Yossi Matias\",\"doi\":\"10.1145/1142473.1142559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the proliferation of analytic and business intelligence applications, and with the persistent growth in data sizes, there is an ever increasing need to support high performance analytics. This talk will present recent technological trends in addressing this need, and will particularly highlight the approach of facilitating high performance analytics in a relational database via a novel dichotomous combination with a non-relational aggregation-server.\",\"PeriodicalId\":416090,\"journal\":{\"name\":\"Proceedings of the 2006 ACM SIGMOD international conference on Management of data\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2006 ACM SIGMOD international conference on Management of data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1142473.1142559\",\"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 2006 ACM SIGMOD international conference on Management of data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1142473.1142559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

随着分析和商业智能应用程序的激增，以及数据大小的持续增长，支持高性能分析的需求也在不断增长。本次演讲将介绍解决这一需求的最新技术趋势，并将特别强调通过一种新的二分法组合与非关系聚合服务器来促进关系数据库中高性能分析的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Trends in high performance analytics

With the proliferation of analytic and business intelligence applications, and with the persistent growth in data sizes, there is an ever increasing need to support high performance analytics. This talk will present recent technological trends in addressing this need, and will particularly highlight the approach of facilitating high performance analytics in a relational database via a novel dichotomous combination with a non-relational aggregation-server.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2006 ACM SIGMOD international conference on Management of data

自引率

0.00%

发文量