The Right Way To Integrate Data For Application Integration
By Informatica
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About this feature:
A White Paper by David S. Linthicum
Traditional data integration approaches within the service-oriented architecture (SOA) movement – such as enterprise application integration (EAI) or enterprise service bus (ESB) – are not as effective as you might think. Data integration is extremely complex, and requires the right tool for the job. The way data integration is implemented, and the technology leveraged, can make all the difference.
EAI tools and ESBs look good on architecture diagrams, but the lack of focus on the data typically leads to disaster. Without an efficient way to transform raw data into a strategic asset, manufacturers cannot shorten product life cycles, increase customer satisfaction, and improve their response to market demands.
This David S. Linthicum LLC white paper, The Right Way To Integrate Data For Application Integration, explains:
- The challenges a sporting goods manufacturer experiences when using the wrong data integration tools and failing to take the complexity of its data into account
- How to understand your own data integration needs and select the right tool for the job
- Things to consider when choosing a data integration technology, including the ability to handle larger amounts of large data sets and integrated data quality, etc.
David Linthicum is an internationally known expert in EAI, SOA, and cloud computing. He has formed or enhanced many of the ideas behind modern distributed computing including EAI, B2B Application Integration, and SOA, approaches and technologies in wide use today.

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