| Title: |
Data Quality for SOA |
| Author: |
Richard Veryard |
| Publication Date: |
13 May 2003 |
| Report Type: |
Journal |
| Report Class: |
Product Report |
| Abstract: |
System Context: From Batch Processing to Service-Oriented Architecture
Data quality has always been important. In the real time, Web Service world we have new challenges in ensuring data integrity. With collaborative real time processing, we will be increasingly dependent on others to provide accurate data. Consequently SLAs will increasingly include obligations relating to data quality. How will you respond? In this report we discuss the issues and report on one solution from Metagenix, specialists in this area. |
| Backgrounder: |
Traditional approaches to data quality are Pass/Fail. Any item that fails the validation check is simply rejected and the presence of invalid items may lead to the entire file being rejected.
However in the service-oriented world, this approach may be neither acceptable from a business perspective, and nor feasible from a technical perspective. The business may not tolerate the flat and unfriendly rejection of a significant number of business transactions; while the technical architecture may not support complete validation prior to starting any processing.
But data quality is still important, So we have to consider alternative actions following a validation check.
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| Report Access Type: |
 | Silver/Gold (Premium) |
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| Available for separate purchase |
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