Data Processing Languages for Business Intelligence. SQL vs. R
作者: Marin FOTACHE
刊名: Informatică economică, 2016, Vol.20 (1), pp.48-61
来源数据库: Directory of Open Access Journals
DOI: 10.12948/issn14531305/20.1.2016.05
关键词: Business IntelligenceData ProcessingSQLR
原始语种摘要: As data centric approach, Business Intelligence (BI) deals with the storage, integration, processing, exploration and analysis of information gathered from multiple sources in various formats and volumes. BI systems are generally synonymous to costly, complex platforms that require vast organizational resources. But there is also an-other face of BI, that of a pool of data sources, applications, services developed at different times using different technologies. This is “democratic” BI or, in some cases, “fragmented”, “patched” (or “chaotic”) BI. Fragmentation creates not only integration problems, but also supports BI agility as new modules can be quickly developed. Among various languages and tools that cover large extents of BI activities, SQL and R are instrumental for both BI...
全文获取路径: DOAJ  (合作)

  • SQL Structured Query Language
  • Data 数据
  • integration 集成
  • platform 台地
  • processing 加工
  • tools 工具
  • users 使用者
  • features 特征
  • applications 应用程序
  • quickly 快速地