Infogroup Taps Talend for its Real-Time, Big Data Integration Framework

Infogroup is turning to Talend’s open source-based big data and integration technologies to help deliver its innovative real-time Data Axle framework. The project helps clients access vast amounts of customer data in real-time to boost sales and promote customer loyalty. IDN speaks with a Talend exec. 

Tags: big data, Data Axle, ESB, Hadoop, Infogroup, integration, NoSQL, open source, real-time, SOA, Talend,

talend_bigdata_02Infogroup is turning to Talend’s open source-based big data and integration technologies to help deliver its innovative real-time Data Axle framework. The project helps clients access vast amounts of customer data in real-time to boost sales and promote customer loyalty.

 

“The value of data is highest when the data is in real time. That’s why we’re building the Data Axle framework – to be able to propagate this information in real time,” said Infogroup’s CTO for enterprise solutions, Purandar Das, in a statement. Infogroup’s Data Axle framework supports real-time transactional matching across millions of database records, Das added. 

 

To drive this vision, Infogroup is using Talend products for Data Axle’s foundation integration components, including Enterprise Data Integration (Big Data Edition), Talend Enterprise Data Quality (Big Data Edition), and Talend Enterprise ESB, according to Talend’s vice president of marketing Yves de Montcheuil.

Infogroup choose Talend to play such a strategic role for a number of reasons, de Montcheuil told IDN, including Talend’s native support for Hadoop (with code generation and linear scalability), speedier integration development and a pricing model that provides Infogroup cost predictability as needs evolve, he added.

“The faster Infogroup can do data matching, the more value this brings to the client.”

 

talend_yvesm

Yves de Montcheuil
vice president
Talend Technologies

 

Inside the Infogroup / Talend Vision
For Real-Time, Big Data, Integration
Infogroup’s Data Axle is a real-time data platform that connects business to contextually-relevant information from millions of businesses and consumers. 

 

The Data Axle framework tracks each data point at the element level (source, time, and prior values, etc.) and all changes to a record or element are visible through the timeline tool. This approach permits Data Axle to drive data from one application to another, and deliver data where and when it is needed.

 

“Our core competency is assembling data sets and finding linkages so our clients can use them for marketing,” Das said in a statement. “Instead of continuing to do that with legacy tools and platforms, we wanted to upgrade and embrace modern tools consistent with our technology vision. Part of that vision is adopting open source software, which, among other advantages, promotes faster innovation.”

 

In specific, Data Axle aims to deliver Infogroup’s Real-Time Transactional Matching that lets client businesses connect to multiple hubs of huge amounts of content in real time. The Data Axle approach allows every piece of data to be tracked and used at just the right moment to optimize customer interaction and drive revenue, Das noted. 

 

He further explained that Infogroup’s vision is to build out its framework to let other organizations perform matching against data sets – especially with data in the emerging NoSQL data stores, such as Cassandra or Hadoop. 

 

Enter Talend’s data integration framework.

 

Talend’s big data integration technologies will let Infogroup clients get easy access to real-time information by integrating into Infogroup’s Data Axle. This architecture also makes it easy for clients to consume and/or publish to that data, Das noted. 

 

The big win for Infogroup is that its Data Axle framework will offer clients real-time, low-hassle customized access to large data sets via whatever systems they choose, (including inventory management systems, commercial CRM, custom in-house systems, etc.)

 

Talend also sees big value to big data used for this any-to-any matching use case. “Infogroup consolidates their customer data and attempts to match it to existing records. The faster they can do this matching, the more value this brings to the client. This is essentially the essence of the real time transaction matching,” de Montcheuil noted. “The combination of data integration and data quality are indeed combined more and more often by our clients.”

Talend is getting more and more requests from customers for such an integrated big data solution that Talend will soon be introducing a combined platform, de Montcheuil told IDN.

 




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