What are the pros and cons of denormalizing data sets?
The pro for denormalizing data is to optimize for scan related queries of data and data serving. The con is that denormalization increases data latency due to the re-building of the materialized view.
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(Optional) Context information is below.
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Answer the following query.
What are the pros and cons of denormalizing data sets?

user
The pro for denormalizing data is to optimize for scan related queries of data and data serving. The con is that denormalization increases data latency due to the re-building of the materialized view.
assistant