Abstract

The purpose of this paper is to study components of a theoretical Enterprise Data Warehouse within the context of a higher education environment.  The reason for such an implementation would give users at all levels of the university an integrated, secure and consistent data source from which they could report on and set their business needs more efficiently than possible without one

Keywords

  • Modernizing Procurement in Supply Chain
  • Industry 4.0
  • Internet of Things (IoT)
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Smart Manufacturing (SM)
  • Computer Science
  • Data Science
  • Vehicle
  • Vehicle Reliability

References

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  4. Rogers, Denise. “Data Warehousing Architecture - Designing the Data Staging Area.”
  5. Whitehorn, Mark. Et al. “Best Practices for Data Warehousing with SQL Server 2008 R2.”
  6. Kimball, Ralph. Et al. The Data Warehouse Toolkit. Second Edition. New York: Wiley Computer Publishing.