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Data Integrity

Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context – even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a pre-requisite for data integrity.

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These are the most often used hashtags on social media when mentioning Data Integrity. The top three related keywords are blockchain, libonomy, and data.

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Data Analyst

Data Integrity is most commonly found in Data Analyst job descriptions. To learn more about the role, click the button below.

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