Ten Things to Avoid in a Data Model

Ten Things to Avoid in a Data Model

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The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid — from both the strategy and detail perspective. Continue reading to learn more.

Vendor:
CA ERwin from CA Technologies
Posted:
19 Oct 2010
Published
01 Aug 2010
Format:
HTML
Length:
8 Page(s)
Type:
White Paper
Language:
English
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