As a Data Analyst, understanding SQL views aid your data analysis by helping you simplify complex data structures.
With a view, you can present the underlying data to your users in a more intuitive and easy-to-use manner just like we have in the below example. ✨
With a view, you can present the underlying data to your users in a more intuitive and easy-to-use manner just like we have in the below example. ✨
Assume you have a task to answer a specific business question and you need to join multiple columns from one or more tables; with a view, you can pull all the data you need and present it as if it were in a single table.
Just like we created a "dim_employee table" in the above example by combining different columns from different tables.
This helps us to visualize specific employee information easily.
This helps us to visualize specific employee information easily.
Views also provide a layer of security by controlling access to the underlying data.
For example, a view can be created to expose relevant data to a specific group of users while hiding data that is not needed.
For example, a view can be created to expose relevant data to a specific group of users while hiding data that is not needed.
It’s also important to know that views are not physically stored in your database. They are virtual tables you use to present your data in an easy-to-understand manner and, because of that, do not take up any physical storage space.
#DataAnalysis #SQLViews #BusinessIntelligence
#DataAnalysis #SQLViews #BusinessIntelligence
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