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Provides criteria that can be used to evaluate data transformation tools
Describes the processes that must be performed to transform data between applications, including for the data warehouse and application conversions.
Describes situations where the only way you're going to find out what business rules are being enforced by your organization is by reverse engineering the code.
Examines four reverse engineering products against the evaluation criteria published in the 6/97 issue of Database Programming and Design.
Provides criteria which can be used to evaluate products that scan/parse source code to extract business rules. While these products are currently thought of as Year 2000 tools, they have a bright future in support of data warehouse mapping and application conversion efforts.
Provides an introduction to data reverse engineering and data mapping templates. Highlights the fact that data mapping is not just a data warehouse activity, but is required for any project that includes data interchange between applications.
Describes a repository-based environment for managing data warehouse meta-data.
Describes Spectrum Technology Group's classification of the data warehouse functions: Source, Load, Storage, Query and Metadata
Provides a number of strategies for migrating to an architected application portfolio.
Last updated on: 12/17/01
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