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Answer: Identify duplicates using SQL queries or data profiling tools, then resolve by either removing duplicates or merging them based on specific criteria.
Option B is the correct method as it involves using SQL queries or data profiling tools to identify duplicates and then resolving them appropriately, which is crucial for maintaining data accuracy and integrity.
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In a data transformation project, you identify a significant amount of duplicate data that needs to be resolved. Describe the steps you would take to identify and resolve these duplicates, including the tools and techniques you would use.
A
Ignore duplicates as they do not affect the overall data analysis.
B
Identify duplicates using SQL queries or data profiling tools, then resolve by either removing duplicates or merging them based on specific criteria.
C
Delete the entire dataset if duplicates are found.
D
Mark duplicates without removing or merging them to keep all data intact.
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