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Data Interoperability

Rushing forward on SOA projects without understanding where, how and why the data is exchanged between your business services will doom your SOA initiatives to failure. As more and more services and applications share data, ensuring consistent meaning—or semantics—between them is critical to your success. Manual, point-to-point mediation techniques simply become too complex and brittle as your system scales.

Do you have business process failures because of incorrect data?

Progress® DataXtend® Semantic Integrator uses a common model to create, maintain and govern your data interoperability layer in any SOA. The common model assures the consistent meaning of data across diverse services and data sources in a service-oriented architecture. New applications and services need only map to the common model in order to communicate with the other applications in your environment. When all services are mapped to a common model, you can see how changes to any service impact all other services in your environment.

The Progress Difference

"We rely on DataXtend SI to ensure semantic consistency between the applications."
- Thomas Norberg, CIO at Nordisk Mobiltelefon

Get consistent meaning of data—DataXtend SI uses a common model to reconcile semantic differences between applications across your SOA through real-time mediation. This means you can more rapidly react to data format changes in your applications and significantly reduce the risk of incorrect results due to a semantic mismatch.

Prevent format changes from breaking your business—With the DataXtend SI common exchange model you can understand the relationship between interfaces to see where and how data is flowing between integrated applications and services in your SOA. You have a comprehensive and precise view of data, application and service interface relationships and you can understand the impact of a requirement change on your SOA before it happens.

Simplify the adoption of industry data models—With DataXtend SI you easily import, customize and maintain common data models, including often complex industry-standard models. The result: your teams become more productive with the common model throughout the development lifecycle, and you can accelerate time-to-benefit.

Additional resources

DataXtend SID Model Browser
Glossary of Terms
Data Integration Resource Center