What are some common challenges in data transformation?
An example of an AI chatbot conversation about common data transformation challenges.
What are some common challenges in data transformation?
Some common challenges include data quality issues, format inconsistencies, and integration difficulties.
Can you elaborate on data quality issues?
Sure! Data quality issues often arise from missing values, duplicates, or inaccuracies in the data.
How can I address format inconsistencies?
You can standardize formats using data transformation tools or scripts to ensure uniformity across datasets.
What tools do you recommend for data transformation?
Popular tools include Apache NiFi, Talend, and Microsoft Power Query, each with unique features for data transformation.
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