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Provides an overview of a framework for presenting data requirements in the context of time (current, historical and future) and level of detail (detailed, summary).
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.
Presents an application portfolio architecture that allows applications that have been architected to share and integrate data co-exist with the unarchitected applications.
Provides a number of strategies for migrating to an architected application portfolio.
Discusses how the application portfolio needs to be synchronized with the business life cycle by mapping each IT technology into the business functions it supports.
Last updated on: 12/17/01
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