Data Processing Languages for Business Intelligence. SQL vs. R
作者: Marin Fotache
刊名: Informatica Economica, 2016, Vol.20 (1), pp.48-61
来源数据库: ProQuest Journal
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 for-mats and volumes. BI systems are generally synonymous to costly, complex platforms that re-quire 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: ProQuest  (合作)

  • SQL Structured Query Language
  • costly 昂贵的
  • agility 灵巧
  • fragmented 碎裂的
  • resources 资源
  • integration 集成
  • developed 开发
  • approach 
  • information 报告
  • monolithic 整体式