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Question

What is the main difference between the ETL paradigm and data integration within the Linked Data paradigm?

a.

ETL requires the fusion of knowledge bases, while Linked Data integration often does not.

b.

ETL is faster than Linked Data integration.

c.

ETL is used for human champions, while Linked Data integration is for complex applications.

d.

ETL is not suitable for data integration.

Posted under Big Data Computing

Answer: (a).ETL requires the fusion of knowledge bases, while Linked Data integration often does not. Explanation:The main difference is that the ETL (extract-transform-load) paradigm requires the fusion of knowledge bases, while Linked Data integration often does not require fusion.

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Q. What is the main difference between the ETL paradigm and data integration within the Linked Data paradigm?

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