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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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Data integration was pivotal in the Large Hadron Collider project, where physicists integrated data from over 150 million sensors generating 40 terabytes of data per second, leading to the discovery of the Higgs boson in 2012. This massive effort not only confirmed fundamental particles but also advanced global collaboration in scientific research.
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