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Data Integration

/ˈdeɪtə ˌɪntəˈɡreɪʃən/noun
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Data integration is the process of combining data from disparate sources into a unified, coherent format for easier access and analysis. This technique not only reduces redundancy and inconsistencies but has become a cornerstone of modern AI and business operations, where real-time data flows drive smarter decisions and innovations.

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