What is the difference between data transformation and data integration?
An example of an AI chatbot conversation about data transformation and integration.
What is the difference between data transformation and data integration?
Data transformation involves converting data from one format or structure to another, while data integration combines data from different sources into a unified view.
Can you give me examples of each?
Sure! An example of data transformation is changing a date format from MM/DD/YYYY to YYYY-MM-DD. Data integration could involve merging customer data from a CRM and an ERP system.
Why is data integration important for businesses?
Data integration is crucial as it provides a comprehensive view of data, enabling better decision-making and improved operational efficiency.
How do these processes impact data quality?
Both processes can enhance data quality; transformation ensures data is in the right format, while integration helps eliminate duplicates and inconsistencies.
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