Business Intelligence

Dynamic Data Warehouse Design With Abstract State Machines

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Executive Summary

On-Line Analytical Processing (OLAP) systems deal with analytical tasks that support decision making. As these tasks do not depend on the latest updates by transactions, it is assumed that the data required by OLAP systems are kept in a data warehouse, which separates the input from operational databases from the outputs to OLAP. However, user requirements for OLAP systems change over time. Data warehouses and OLAP systems thus are rather dynamic and the design process is continuous. In order to easily incorporate new requirements and at the same time ensure the quality of the system design, the authors suggest to apply the Abstract State Machine (ASM) based development method.

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