When implementing an SOA, organizations typically focus only on the business process interactions and application interfaces. They often overlook the details of data-level compatibility among the disparate systems participating in those processes, including varying formats, semantics and hierarchies. These businesses must then resort to costly and time-consuming hand-coding to resolve these data inconsistencies in the SOA implementation.

This SearchSOA.com E-Guide: Data Integration offers an expert overview of the role of data integration in SOA development. Gain insight into the prominent function of data services platforms (DSPs) in an SOA initiative. Explore the seven levels of loose coupling that architects should consider when developing this infrastructure. Discover the importance of a Data Services layer built upon an enterprise data integration platform for SOA success.