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5 Most Common Mistakes in SOA Data Abstraction
sponsored by IONA Technologies
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Many SOA projects these days are falling short because they have failed to properly abstract the data their services will be using, and many that attempt proactive data abstraction are doing a poor job of it. This podcast with noted SOA expert David S. Linthicum will cover the worst practices in SOA data abstraction, the mistakes users are most likely to encounter if they aren't careful.
This podcast will cover the worst practices in SOA data abstraction, including not considering database management tools, not deploying with a data services layer and not using a modeling/mapping tool. Learn the five most common mistakes:
- Not considering the database management layer.
- Not considering the modeling/mapping tool.
- Not considering use of the data services model for deployment.
- Not considering bi-directional data movement requirements.
- Not considering the quality of the vendor.
(THIS RESOURCE IS NO LONGER AVAILABLE.)
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