This eBook compares traditional data integration approaches—ETL (Extract, Transform, Load) and ESB (Enterprise Service Bus)—with modern data virtualization. It explains how ETL relies on batch replication and physical data movement, while ESB focuses on application integration and message routing. In contrast, data virtualization delivers real-time, logical data access without duplication. The guide outlines architectural differences, use cases, performance considerations, and governance implications. It helps organizations determine when to use each approach and how virtualization complements existing ETL and ESB investments to create a more agile, cost-efficient data strategy.

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