Integrating Information from Heterogeneous Data Sources

Muheet Ahmed Butt


Data warehousing systems enable enterprise managers to acquire and integrate information from heterogeneous sources and to query very large databases efficiently. Building a data warehouse requires adopting design and implementation techniques completely different from those underlying information systems [1]. Issue of information integration is vital part of any data warehouse and the design challenge increases by the variety of heterogeneous data sources present in the system. These data sources have varying conceptual models, semantic heterogeneity which seems to be an unavoidable burden in data integration. In this paper we discuss designing of a Data Warehouse for heterogeneous data sources using University Examination System as an example. This paper also discusses various challenges that were faced by the team in implementation of the same.

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