Data integration is the process of bringing data from multiple sources to a single source of truth. This is aimed at breaking data silos across the enterprise and beyond – including partners as well as third-party data sources and use cases. Techniques include bulk/batch data movement, extract, transform, load (ETL), change data capture, data replication, data virtualization, streaming data integration, data orchestration, and more.

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