| Publisher | IBM | ||
|---|---|---|---|
| Format | 26.1KB PDF | Date added | 06 May 2008 |
| Topics | Knowledge and Data Management, Software Engineering | ||
| Downloads | 4 | ||
Data is the lifeblood of the enterprise, and the best way to prepare for a development and integration project is to document the characteristics of the data that drive the target applications. Learn the key questions that an enterprise data architect should explore in order to effectively document the characteristics of relevant data and take the most important first step towards project success. There are many software development methodologies, but all of them emphasize the importance of the analysis portion of the life cycle. During analysis, one looks to clearly understand the problem and create use cases. One documents requirements and user-acceptance criteria. One documents the social and technological environment in which the software is to be used.
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