Privacy / Security

Data Integration: Data Architecture Needs Data Privacy

31st Jan `14, 05:35 PM in Privacy / Security

A data integration hub is a proven system which provides a self service model for publishing data. Such…

BDMS
Guest Contributor
 

A data integration hub is a proven system which provides a self service model for publishing data. Such a hub can enable certain information to be made readily available for a variety of users. However, for those who deploy such hubs for regulated and sensitive data, it is imperative to consider how the issue of privacy is best handled.

When developing the architecture of such hubs, it is vital to consider how to safely transfer data across varying platforms; including the cyber sphere. The question is, how can we ensure data will be protected across such a heterogeneous environment?

Then, we need to think about testing connectivity. If data needs to be validated alongside certain security rules, there needs to be some sort of capability to validate such data. However, testers should not have access or visibility into the actual data itself if it is classified as sensitive or confidential.

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