Data Services
Problem – Service-oriented Approaches Complicate Data Integration
You are not alone if you’ve discovered that new service oriented approaches, XML structures, the XQuery language, SOAP, REST, JMS and more have greatly complicated data integration in the past five years. Gone are the days when the SQL language and relational structures could support nearly all your information needs.
Simply wrapping existing data sources doesn’t scale. And applying ESB and other transaction-centric integration approaches has not worked well in support of more complex data-centric services needs.
Solution – Use Data Services to Complement Your Federated SQL Views
Composite data services provide all the data virtualization access, federation, abstraction, and delivery capabilities required to support data integration across both SOA and non-SOA applications.
During development, Composite uniquely provides two easy-to-use data service development environments. Studio uses a traditional data modeling paradigm, whereas Designer is Eclipse-based and can support both contract-first and design-by-example techniques. Automated data service code generators accelerate development by tenfold. And a plethora of data delivery formats including SOAP over HTTP, JMS, POX over HTTP, JSON over HTTP, and REST greatly simplify consumption by end solutions. As your data sources grow in number and complexity, these specialized tools become even more critical.
At runtime, the Composite Information Server optimizes queries and is especially tuned for large data sets and/or high performance use cases. Result sets queried by Composite can leverage an ESB’s messaging and mediation to deliver these results to the consumers in a most efficient manner.
The Composite Information Server works directly with multiple vendors’ key SOA components such as application servers, ESBs, BPMs, governance and others
SOA Landscape Model
Selected Examples
- Single View of a “Person of Interest” – Intelligence data spread across multiple intelligence agencies leverage Composite data services to enabling analysts to get a complete picture on persons of interest.
- Financial Research Data Services – Composite data services abstract a multi-terabyte financial research database for a variety of Matlabs analytical and custom financial engineering applications. Analysts spend less time on access and more time on analysis resulting in higher investment returns.
