What is the difference between data integration and data migration?
An example of an AI chatbot conversation about data integration and migration differences.
What is the difference between data integration and data migration?
Data integration involves combining data from different sources to provide a unified view, while data migration is the process of moving data from one system to another.
Can you give me examples of when to use each?
Sure! Use data integration when you need real-time access to data from multiple sources, and data migration when you're upgrading systems or consolidating data.
Are there any risks associated with data migration?
Yes, risks include data loss, downtime, and compatibility issues. It's crucial to plan and test thoroughly.
What tools can help with data integration?
Popular tools for data integration include Apache NiFi, Talend, and Microsoft Azure Data Factory.
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