N. Sample, Brian F. Cooper, M. Franklin, Gísli R. Hjaltason, Moshe Shadmon, Levy Cohe
{"title":"使用IndexFabric/sup TM/管理复杂多变的数据","authors":"N. Sample, Brian F. Cooper, M. Franklin, Gísli R. Hjaltason, Moshe Shadmon, Levy Cohe","doi":"10.1109/ICDE.2002.994765","DOIUrl":null,"url":null,"abstract":"Emerging networked applications present significant challenges for traditional data management techniques for two reasons. First, they are based on data encoded in XML, LDAP directories, etc. that typically have complex inter-relationships. Second, the dynamic nature of networked applications and the need to integrate data from multiple sources results in data that is semior irregularly structured. The IndexFabric has been developed to meet both these challenges. In this demonstration, we show how the IndexFabric efficiently encodes and indexes very large collections of irregular, semistructured, and complex data.","PeriodicalId":191529,"journal":{"name":"Proceedings 18th International Conference on Data Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Managing complex and varied data with the IndexFabric/sup TM/\",\"authors\":\"N. Sample, Brian F. Cooper, M. Franklin, Gísli R. Hjaltason, Moshe Shadmon, Levy Cohe\",\"doi\":\"10.1109/ICDE.2002.994765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Emerging networked applications present significant challenges for traditional data management techniques for two reasons. First, they are based on data encoded in XML, LDAP directories, etc. that typically have complex inter-relationships. Second, the dynamic nature of networked applications and the need to integrate data from multiple sources results in data that is semior irregularly structured. The IndexFabric has been developed to meet both these challenges. In this demonstration, we show how the IndexFabric efficiently encodes and indexes very large collections of irregular, semistructured, and complex data.\",\"PeriodicalId\":191529,\"journal\":{\"name\":\"Proceedings 18th International Conference on Data Engineering\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 18th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2002.994765\",\"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 18th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2002.994765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Managing complex and varied data with the IndexFabric/sup TM/
Emerging networked applications present significant challenges for traditional data management techniques for two reasons. First, they are based on data encoded in XML, LDAP directories, etc. that typically have complex inter-relationships. Second, the dynamic nature of networked applications and the need to integrate data from multiple sources results in data that is semior irregularly structured. The IndexFabric has been developed to meet both these challenges. In this demonstration, we show how the IndexFabric efficiently encodes and indexes very large collections of irregular, semistructured, and complex data.