{"title":"智能收集金融工具数据","authors":"I. Kholod, M. Efimova","doi":"10.1109/SCM.2017.7970697","DOIUrl":null,"url":null,"abstract":"describes an approach to extend ETL tools to analyze data from multiple data sources. This approach allows us to plug in data sources dynamically which leads to the reduction of network traffic as well as costs for data requests. An example of this approach is implemented with an ETL tool called Pentaho Data Integration.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Smart collection of data for financial instruments\",\"authors\":\"I. Kholod, M. Efimova\",\"doi\":\"10.1109/SCM.2017.7970697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"describes an approach to extend ETL tools to analyze data from multiple data sources. This approach allows us to plug in data sources dynamically which leads to the reduction of network traffic as well as costs for data requests. An example of this approach is implemented with an ETL tool called Pentaho Data Integration.\",\"PeriodicalId\":315574,\"journal\":{\"name\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2017.7970697\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970697","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
描述了一种扩展ETL工具以分析来自多个数据源的数据的方法。这种方法允许我们动态地插入数据源,从而减少网络流量以及数据请求的成本。这种方法的一个例子是使用名为Pentaho Data Integration的ETL工具实现的。
Smart collection of data for financial instruments
describes an approach to extend ETL tools to analyze data from multiple data sources. This approach allows us to plug in data sources dynamically which leads to the reduction of network traffic as well as costs for data requests. An example of this approach is implemented with an ETL tool called Pentaho Data Integration.