What is the difference between data integration and data transformation?
An example of an AI chatbot conversation about data integration and transformation.
What is the difference between data integration and data transformation?
Data integration is the process of combining data from different sources into a unified view, while data transformation involves converting data into a different format or structure.
Can you give me an example of data integration?
Sure! An example of data integration is merging customer data from a CRM system and sales data from an ERP system to create a comprehensive customer profile.
And what about data transformation?
Data transformation could involve changing the format of sales data from CSV to JSON to make it compatible with a web application.
Why are both processes important in data management?
Both processes are crucial because integration ensures all relevant data is accessible, while transformation ensures that data is in the right format for analysis.
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