This infographic uses an iceberg metaphor to show the hidden challenges of data integration beyond simply moving data and building dashboards. Beneath the surface lie complex issues like reverse engineering data models, handling schema drift, and managing transformations. Teams struggle with incremental updates, duplicate records, and long ingestion times due to poor parallelization and buffering. Scaling often fails despite adding engineers, while security and PII management risks can lead to costly leaks. These underlying problems highlight the need for robust, automated data integration solutions to ensure reliable, scalable, and secure pipelines.

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