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Accelerating Big Data Analysis with TTI’s Data Cleansing Strategy September 4, 2019 – Otmar Foehner Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting …

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