It may be time for us to reconsider some of our previous assumptions regarding data integration. For decades, weve presumed that the best method for managing data was through strict conformance and control. We viewed the enterprise as static, remaining stable once properly defined. Weve discovered that quite the opposite is true. Today we are facing more complexity in data integration than ever before - more data sources, greater volumes of data, more solution paradigms to deal with and greater expectations for cross-domain data exchange. Moreover, data integration has become the lynchpin within holistic architectures based upon services and sophisticated business process orchestration. Agile data architecture is not a vendor-focused solution; it is a technology-agnostic philosophy designed to address the new realities of enterprise integration. It provides a context and methodology that aligns technical solutions with the expectations that drive them. Agile data architecture provides a solution focus that pulls the big picture together without losing sight of those whom it serves, the end users.
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