Ash Parikh (Informative) interviewed by Linda L. Briggs (tdwi):
True data virtualization should be built from the ground up, ideally on a comprehensive data integration platform that truly understands the complexity of data warehouse architectures. It must be based on lean integration principles so that the data integration process can be optimized to reduce delays and minimize waste. It must support a model-driven and service-oriented approach for defining and delivering data services that can be fully reused for any consuming application and across any project, without any rework. That means there must be no re-building of data integration logic and no re-deployment.
I’m still trying to visualize what data virtualization means. If you have any clear non-BS definition or example I’d really appreciate it.
Original title and link: Best Practices for Data Virtualization ( ©myNoSQL)