{"title":"工业的经验","authors":"","doi":"10.1109/ICDE.1986.7266276","DOIUrl":null,"url":null,"abstract":"Research in data engineering is always influenced by application systems. This influence either arises from application-initiated end-user needs or from experience and analysis of previous system use. So, in data engineering, industrial experience plays a major role both in initiating research directions as well as in ‘real-life’ verification of theoretically gained research results.","PeriodicalId":415748,"journal":{"name":"1986 IEEE Second International Conference on Data Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Industrial experience\",\"authors\":\"\",\"doi\":\"10.1109/ICDE.1986.7266276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research in data engineering is always influenced by application systems. This influence either arises from application-initiated end-user needs or from experience and analysis of previous system use. So, in data engineering, industrial experience plays a major role both in initiating research directions as well as in ‘real-life’ verification of theoretically gained research results.\",\"PeriodicalId\":415748,\"journal\":{\"name\":\"1986 IEEE Second International Conference on Data Engineering\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1986 IEEE Second International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1986.7266276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1986 IEEE Second International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1986.7266276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research in data engineering is always influenced by application systems. This influence either arises from application-initiated end-user needs or from experience and analysis of previous system use. So, in data engineering, industrial experience plays a major role both in initiating research directions as well as in ‘real-life’ verification of theoretically gained research results.