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Business Transformation in Action

Joe McKendrick

Semantics, Structure and Quality: Design Patterns for SOA Data Management

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Last week,I published a feature article here at ebizQ on the urgency of integrating and managing the data that flows through SOAs.

Boris Lublinsky also discusses this challenge in a recent article, which looked at a proposal published by Brian Byrne, David McCarty, Guenter Sauter, Peter Worcester and John Klingover at IBM.

The IBM team offers a systematic approach -- three design patterns that help assure data quality, semantics, and structure within SOA efforts. All too often, Boris adds, the information aspects of the SOA are "an afterthought." Data management needs to be designed into the SOA right from the start, he urges.

The three SOA data design patterns include:

Define the data semantics through a business glossary. "A foundation for any successful SOA is the establishment of a common, easily accessible business glossary that defines the terms related to processes, services, and data."

Define the data structure through canonical modeling."The development time and quality of SOA projects can be greatly improved if SOA architects leverage a canonical model when designing the exposed data formats of service models."

Analyze the data quality. "Quality issues which are insignificant within the original single application may cause significant problems when exposed more broadly through an SOA on an enterprise level."

In this blog (formerly known as "SOA in Action"), Joe McKendrick examines how BPM and related business and IT approaches can promote business transformation.

Joe McKendrick

Joe McKendrick is an author and independent analyst who tracks the impact of information technology on management and markets. View more


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