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SmartData Collective > Business Intelligence > SOA Mandates Data Management
Business Intelligence

SOA Mandates Data Management

EvanLevy
EvanLevy
3 Min Read
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By Evan Levy

I've always said that the focus on SOA is too much on the "A" for "architecture." The whole idea of SOA is to define application functions and services that need to be accessible to other systems. Prior to SOA, it was always hairy to move data from one system to another.

Cellphone-main_Full
 But everyone thinks that SOA is an integration framework. In fact it's a means of remotely accessing other systems and their related information without having to know the details. For instance, I don't need to know how my cell phone number was assigned; I just need to remember that number so I can share it with my friends.

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As I've said before, SOA is the evolutionary result of all the middleware companies trying to convince us to buy their hardware-independent products. SOA's ability to business flexibility today is just as remote as the code objects of decade ago promising to make business more nimble. SOA isn't a business term. It's a technical term for technical people to focus on re-use, standard parts, and standardized processes.

Holygrail
Companies turning to SOA are looking for the holy grail. Consider the emergence of the term "SOA governance" to address the conundrum of SOA development planning. The core issue is how to simplify developers' work in building applications without having to understand the technical details and obstacles in between. Just because I have advanced features and functions doesn't mean I don't still have to focus on software development fundamentals. Design reviews, code re-use, and development standards still matter.

The real challenge with implementing any kind of web service, or defining services that can be re-used, is in ensuring that the data they are dependent on is well-defined. Unfortunately there is no such thing as a business process that is data-independent. Until you've standardized your data, which means implementing data management and maintaining data in a sustainable way, you can't have re-usable services. Period.

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