What is Data Consistency
Data consistency refers to the accuracy, integrity, and validity of data across different parts of a database or distributed system.
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Data consistency refers to the accuracy, integrity, and validity of data across different parts of a database or distributed system.
Dirty data refers to data that is inaccurate, incomplete, inconsistent, or contains errors, making it challenging to use for analysis or...
Data accuracy refers to the degree to which data correctly represents the real-world objects or events it is intended to capture.
Data scrubbing refers to the process of identifying and correcting or removing errors, inconsistencies, inaccuracies, and redundancies in a dataset.
Data verification refers to the process of validating and confirming the accuracy, completeness, and integrity of data.