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Data integration and application integration serve different purposes in enterprise systems. Data integration combines data from multiple sources into a unified repository (data warehouse or data lake) using ETL/ELT processes, primarily for analytics and business intelligence. Application integration connects software applications to communicate in real time via APIs, enabling workflow automation and process synchronization. The post covers how each works, their benefits and challenges, common tools (Fivetran, MuleSoft, AWS Glue, Zapier, etc.), and guidance on when to use each approach. Most enterprises benefit from using both together.

The Difference Between Data Integration vs. Application Integration

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