Using abstract state machines for distributed data warehouse design

  • Authors:
  • Jane Zaho;Klaus-Dieter Schewe

  • Affiliations:
  • Massey University, Palmerston North, New Zealand;Massey University, Palmerston North, New Zealand

  • Venue:
  • APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
  • Year:
  • 2004

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Abstract

Data Warehouses are data-intensive systems that are used for analytical tasks. As these tasks do not depend on the latest updates by transactions, data warehouses can be set up in a way that input of data from operational databases and output to dialogue interfaces for on-line analytical processes (OLAP) can be separated. In the paper we describe how abstract state machines (ASMs) can be used to design distributed data warehouses. We formalise the ground idea of data warehouses by a ground model ASM and discuss refinement steps, which can be applied in a step-by-step design methodology. Distribution will appear as such a refinement step.