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Progress Software's DataXTend Extends Consistency for SOAs

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Over the years, I've found that I'm listed in some data repositories as Gian Trotta, Gian G. Trotta, Trotta, Gian and as John Trotta and Gina Trotta to those who have opted to anglicize or feminize my name.

Ken RuggAnd that's just one example of what makes it hard to integrate data from different databases in SOAs. But last week, Progress Software unveiled its DataXtend Semantic Integrator - and its model, mapping and schema creation-tools are potent aids to validating and transforming data access across SOA applications.

"Whether it's a relational database, it's in a Web service or it's in a flat file," noted Progress Software's Vice President for Data Services Ken Rugg. "It's very important that if these systems are going to cooperate, that they're treating you as the same person every time you go to their systems," said .

The next challenge is to go beyond format integrity and assure consistency with business requirements.
Data quality and data consistency is a big theme to both service customers appropriately, ensure regulatory compliance.

"The way we see it is is that there are number of tools that give you the ability to maintain the data consistency or cleansing the data," Rugg added. "But with the DataXtend integator product, we're dealing with data in motion that's flowing between services and from one data source to another. And in those cases we present a way of creating rules that insure the constraints and consistency of the data is managed throughout its lifecycle while it is in motion, while you're able to use it.

Rugg also detailed the advantages of allowing customers to both create and map between custom schemas and industry-standard ones.

"One of the largest scenarios where we see our customers using the technology is when they're using an industry-standard schema, something like an HL7 or a SID from the telecommunications space," he noted.

They have these very large models; they want to be able to have an informational model; a canonical model that represents their entire business," Rugg added. "For a significant enterprise, those models can be very large and very complex and they can be hard to manage over their lifecycle because they do certainly have to change to adapt to the business. When we talk to our clients, being able to handle that complexity and that ability to handle those large-scale schemas is really one the key things they're finding useful in our tool."

An early case study included a major telecom provider using DataXtend to integrate their operational and business systems. "It may be information about you as a customer from their landline support, their cellular support and their broadband support and they want to make sure it's Gian that they're talking to, no matter what it is they're talking to you about, Rugg noted.

"You might see upwards of 3000 individual point systems that are being use to bring this common data and information together. That's a challenge that really requires a tool of the class and quality of DataXtend's capabilities," he concluded.

For many more details, listen to the entire 6:49 podcast Download file

Join ebizQ producer Krissi Danielson for interviews with the innovators, movers and shakers behind emerging enterprise software solutions.Have a solution that qualifies? E-mail Krissi at krissi (at)ebizq.net

Krissi Danielson

Krissi Danielsson is a podcast producer with ebizQ and contributor to ebizQ's SaaSWeek site. View more

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