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Customer DemandEnterprise companies are facing serious challenges to reduce IT costs, to react more quickly to changing business requirements and to more effectively manage their heterogeneous information systems. These companies are moving towards a service-oriented architecture (SOA) leveraging Web Services (WS) for more agile business applications. SOA is driving the need for a new method of accessing and integrating data in a service-oriented way to dynamically compose transactional applications. In fact, between 70 and 80 percent of business-critical information is stored in legacy and mainframe systems with heterogeneous data types. This legacy and mainframe data, particularly high-volume transactional environments, is difficult to access and is extremely costly as it requires highly skilled programmers and custom code. Data access technologies are highly complex as they must provide several mapping options for flexibility and performance. In a report by Gartner titled Data Services: The Intersection of Data Integration and SOA, analysts assert that products that work with both service and data resources and make it easier to compose applications are in high-demand. Enterprise customers that rely on mainframe data resources are supporting our vision that intermediating data and services at the business layer and dynamically orchestrating business processes are essential practices for success in the emerging SOA world.
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