{"title":"科学数据库的未来","authors":"M. Stonebraker, A. Ailamaki, J. Kepner, A. Szalay","doi":"10.1109/ICDE.2012.151","DOIUrl":null,"url":null,"abstract":"For many decades, users in scientific fields (domain scientists) have resorted to either home-grown tools or legacy software for the management of their data. Technological advancements nowadays necessitate many of the properties such as data independence, scalability, and functionality found in the roadmap of DBMS technology, DBMS products, however, are not yet ready to address scientific application and user needs. Recent efforts toward building a science DBMS indicate that there is a long way ahead of us, paved by a research agenda that is rich in interesting and challenging problems.","PeriodicalId":321608,"journal":{"name":"2012 IEEE 28th International Conference on Data Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Future of Scientific Data Bases\",\"authors\":\"M. Stonebraker, A. Ailamaki, J. Kepner, A. Szalay\",\"doi\":\"10.1109/ICDE.2012.151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For many decades, users in scientific fields (domain scientists) have resorted to either home-grown tools or legacy software for the management of their data. Technological advancements nowadays necessitate many of the properties such as data independence, scalability, and functionality found in the roadmap of DBMS technology, DBMS products, however, are not yet ready to address scientific application and user needs. Recent efforts toward building a science DBMS indicate that there is a long way ahead of us, paved by a research agenda that is rich in interesting and challenging problems.\",\"PeriodicalId\":321608,\"journal\":{\"name\":\"2012 IEEE 28th International Conference on Data Engineering\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 28th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2012.151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 28th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2012.151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
For many decades, users in scientific fields (domain scientists) have resorted to either home-grown tools or legacy software for the management of their data. Technological advancements nowadays necessitate many of the properties such as data independence, scalability, and functionality found in the roadmap of DBMS technology, DBMS products, however, are not yet ready to address scientific application and user needs. Recent efforts toward building a science DBMS indicate that there is a long way ahead of us, paved by a research agenda that is rich in interesting and challenging problems.
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