Snowflake - Build and Architect Data Pipelines Using AWS - More about Views in Snowflake

The video tutorial covers the advantages of materialized views, which improve query performance by persisting data on disk and being automatically maintained. It provides guidelines on when to choose materialized views over normal views, based on query frequency and resource consumption. Secure views are discussed in the context of data privacy, emphasizing their use for limiting access to sensitive data. The tutorial concludes with a recommendation to consult official documentation for further learning.

What are the advantages of using materialized views?

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When should you choose a materialized view over a normal view?

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What criteria should be met to create a non-materialized view?

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Under what circumstances should a secure view be created?

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What are the key considerations when working with views in general?

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