Gap Analysis: The Case for Data Services
Source: Red Hat
Data services gather and integrate data from many different sources in real time, bridging gaps to create consolidated information views while hiding data source complexity from applications. A data service approach makes data access and integration scalable by streamlining development and maintenance, whether applications speak web services, SQL, or both. The broad, cross-functional scope of newer business applications, changing regulatory and security requirements, and the demanding, real-time nature of today's business interactions are making the roll-out of new Service-Oriented Architecture (SOA) based applications exceptionally challenging.