
Scaling SOA through EAI EnhancementService-oriented architecture (SOA) increases business agility by providing loose coupling of systems, standards-based technologies, improved vendor interoperability through the use of standards, and highly reusable service interfaces. Most corporations look to their EAI vendors to provide the tooling to support the build-out of scaleable SOA. However, as corporations attempt to leverage the in-house technologies provided by the leading EAI and SOA platform vendors, they will likely encounter significant productivity, governance, and performance challenges as they seek to scale their SOA pilot projects into large-scale production implementations.
SOAs Should Speak a Common LanguageConnecting services from diverse applications isn't enough, they need to be able to talk to each other. Ensure that your SOA is successful by providing data integration for distributed applications, and by delivering real-time views of shared data in the form that all applications and services need. Semantic data integration is a unique, logical approach to solving real-time data management problems. Build and deploy a common data model to create sophisticated data transformations, and enable the enterprise to integrate heterogeneous data sources with no disruption to existing applications. The newest addition to the Progress DataXtend product family, DataXtend Semantic Integrator (SI), addresses the semantic data integration challenges in SOA. Use Model-Based StandardsProgress® DataXtend™ Semantic Integrator’s (SI) standards-based, model-driven, visual design tools and distributed runtime operate within existing EAI frameworks to ensure the real-time scalability of SOA application integration. Semantic integration with DataXtend SI provides advantages for productivity, governance, and performance as corporations scale their SOA projects. Register for the whitepaper, Scaling SOA through EAI Enhancement and Use of Model-Based Standards today. |
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