What are some common errors in data merging?
Common errors in data merging include mismatched keys, duplicate records, and inconsistent data formats.
How can I avoid mismatched keys during data merging?
To avoid mismatched keys, ensure that the key fields are standardized and consistently formatted across datasets.
What should I do if I find duplicate records?
You can remove duplicates by using data deduplication techniques or tools that identify and merge duplicate entries.
Are there any tools that can help with data merging?
Yes, tools like Talend, Alteryx, and Microsoft Power Query can assist with data merging and cleaning.
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