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Schema-on-read

/ˈskiː.mə ɒn riːd/noun
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Schema-on-read is a flexible data processing approach in which the structure or schema is applied to data only when it's being read or queried, rather than at the time of storage. This method contrasts with traditional schema-on-write systems and shines in handling unstructured or rapidly changing data sets, making it a go-to for big data analytics where adaptability trumps rigid formats.

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Schema-on-read has revolutionized data handling by enabling the processing of enormous unstructured datasets, such as the 40 zettabytes of global data generated annually, without upfront organization—allowing companies like Facebook to analyze user interactions in real-time and uncover insights that would be impossible with rigid schemas.

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