Moving from Traditional Data Warehouse to Enterprise Data Management: a Case Study

نویسندگان

  • Amit Pandey
  • Robert Morris
  • Sushma Mishra
چکیده

In the era of big data, organizations today rely of huge quantity of data from diverse sources and need to integrate this data in a speedy manner to gain any strategic advantage out of the data. Data warehouse is becoming increasingly popular in organizations due to the need for enterprises to gather all of their data in a single place for in-depth analysis and also to segregate such analytical work form on-line transaction processing systems. In carrying out this qualitative case study, researchers examined the limitation and issues of current data warehousing system architecture of the financial institution. The researchers discuss the benefits of migration from tradition data warehouse to enterprise data management and present the new architecture. Contributions are noted and conclusions drawn.

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تاریخ انتشار 2014