Service-oriented Approaches Present New Opportunities

New service oriented approaches including XML structures, the XQuery language, SOAP, REST, JMS and more have added new technology capabilities to traditional data integration.  Adding data services to your SQL language and relational techniques provides powerful new tools to fulfill information needs.

But simply wrapping existing relational data sources doesn’t scale.  And applying ESB and other transaction-centric integration approaches is an awkward way to meet more complex data-centric services needs where data modeling and query optimization are critical capabilities.

Add Data Services to Complement Your Business Views

With data virtualization, you can rapidly develop and deploy data services that access, federate, abstract, and deliver data.
 
The Composite Data Virtualization Platform provides a complete set of development and runtime tools to build and deploy sharable data services that meet a variety of information needs.
 
Delivered via SOAP, JMS and REST, Composite data services can be used on multiple projects, so you can achieve your agility and reuse objectives. Composite even lets you repurpose “non-SOA” code such as relational views into sharable data service in just a few clicks.
 
And because the Composite Data Virtualization Platform works in conjunction with other SOA tools such as Enterprise Services Buses (ESBs), Registries, and Application Servers, you can leverage your existing technology investments.

Data Services

Data services provide agility and reuse

Selected Examples

  • Gaining a Single View of a “Person of Interest” – With intelligence data spread across multiple intelligence agencies, analysts leverage Composite data services to see the complete picture on persons of interest and respond faster to threats.
  • Improving Control with Counter-Party Data Services – With key reference data, such as counterparty accounts, duplicated across applications, this investment bank developed and deployed a common counterparty master reference data service using Composite.  Replacing point to point integrations, not only did this save cost and accelerate application changes, it also provided a single point of control over risky counter-party trades.
  • Reducing Costs with a Shared Location Data Service – With hundreds of locations and thousands of property assets, this large bank provided location data services that federated multiple property management repositories and abstracted the data for easier consumption.  This innovative Composite use case saved new development time and costs, helping IT become more responsive to the business.