课程: Using Snowflake with Tableau

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Views and materialized views

Views and materialized views

课程: Using Snowflake with Tableau

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Views and materialized views

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- When using Snowflake with Tableau views and materialized views offer distinct advantages depending on your performance needs, data freshness requirements, and query complexity. Here's a detailed view. A view in Snowflake is essentially a saved query that you can call upon as if it were a table. It doesn't store data itself, but it references underlying tables. One of the benefits of doing this is that you get real-time data. Since views are just saved queries, every time Tableau queries a view, it fetches the latest data from the underlying tables. This is useful when you want to ensure that your visualizations reflect real-time data. Views can also abstract complex SQL logic into a simple object that Tableau can query without needing to handle the underlying complexity. This allows you to push back complex calculations away from Tableau into your database. Views can also be created quite easily, and views can be created to present only the necessary columns or aggregated results to…

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