{"title":"常见数据设计问题的解决方案模式","authors":"Andrew H. Wilson","doi":"10.1109/ICDE.1987.7272424","DOIUrl":null,"url":null,"abstract":"After many years of experience in a variety of companies and industries, certain logical data design problems and solution patterns emerge as being common to most organizations. This paper discusses: ◯ the most common data design problems encountered in many organizations; and ◯ the data design patterns that have been successful in solving these problems.","PeriodicalId":145433,"journal":{"name":"1987 IEEE Third International Conference on Data Engineering","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Solution patterns for common data design problems\",\"authors\":\"Andrew H. Wilson\",\"doi\":\"10.1109/ICDE.1987.7272424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"After many years of experience in a variety of companies and industries, certain logical data design problems and solution patterns emerge as being common to most organizations. This paper discusses: ◯ the most common data design problems encountered in many organizations; and ◯ the data design patterns that have been successful in solving these problems.\",\"PeriodicalId\":145433,\"journal\":{\"name\":\"1987 IEEE Third International Conference on Data Engineering\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1987 IEEE Third International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1987.7272424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1987 IEEE Third International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1987.7272424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
After many years of experience in a variety of companies and industries, certain logical data design problems and solution patterns emerge as being common to most organizations. This paper discusses: ◯ the most common data design problems encountered in many organizations; and ◯ the data design patterns that have been successful in solving these problems.