What are the common challenges in data transformation?
An example of an AI chatbot conversation about challenges in data transformation.
What are the common challenges in data transformation?
Some common challenges include data quality issues, integration of diverse data sources, and scalability.
Can you elaborate on data quality issues?
Sure! Data quality issues can arise from inaccuracies, missing values, or inconsistencies in the data.
How can we address these data quality issues?
You can implement data validation rules, use data cleansing tools, and establish data governance practices.
What about the integration of diverse data sources?
Integrating diverse data sources can be challenging due to differences in formats, structures, and semantics.
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