A data analyst has just finished cleansing a database table and is now ready to update the master. However, the analyst must first check to ensure all the work is accurate. Which of the following data quality checkpoints is the analyst using?
data product checkpoint refers to the final stage of the data pipeline, where the cleansed and transformed data is reviewed before being delivered or used—in this case, updating the master table. The analyst is checking the accuracy and quality of the cleaned data to ensure it's ready for production or decision-making, which is exactly what the data product checkpoint involves.
D. Data transformation
The data analyst is using a data quality checkpoint related to data transformation. Data transformation involves cleaning, aggregating, or otherwise modifying the data to prepare it for analysis or integration into the master database table. Checking the accuracy of the data transformation ensures that the cleaned data accurately reflects the intended changes and meets the quality standards before updating the master database.
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6 months ago