智能收集金融工具数据

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI:10.1109/SCM.2017.7970697

I. Kholod, M. Efimova

{"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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)

自引率

0.00%

发文量

期刊最新文献

Fuzzy model assessing the index of development of sustainable marketing of the company Bayesian approach in strategic management accounting and audit Comparing of systems of PCB routers Classification of information's uncertainty in system research Applying machine learning techniques to mine ventilation control systems