A Standard View in SQL is a dynamic virtual table in BigQuery created by saving a query. It doesn’t store data itself but shows the result of a SELECT statement when queried. It executes the underlying SQL query each time they are accessed.
Standard Views offer a layer of abstraction that enables teams to manage complexity, enforce consistent business logic, and control data access. By centralizing commonly used queries, they reduce redundancy, improve maintainability, and support cleaner, more secure analytics workflows across the organization.
Standard Views offer multiple advantages that make them a powerful tool in SQL-based data systems. They improve efficiency, simplify access, and enhance security, all without duplicating data.
These benefits make standard views valuable in both analytics and production environments.
Standard Views operate as saved SELECT statements that act like virtual tables. When you query a view, SQL executes the underlying query in real time and fetches the latest data from the base tables.
They do not store data themselves; every time the view is accessed, the database dynamically computes the result. This ensures that the output is always up to date. Views can be used in joins, filters, or aggregations just like regular tables, making them a flexible tool for abstracting and organizing data logic.
Standard Views are created using the CREATE VIEW statement, which defines a virtual table based on a SELECT query.
Below are a few examples that demonstrate how to create and use them:
Example 1: Creating a simple view
CREATE VIEW ActiveCustomers AS
SELECT CustomerID, Name, Status
FROM Customers
WHERE Status = 'Active';
This view filters only active customers and can be reused across reports and queries.
Example 2: Using a view in a query
SELECT Name
FROM ActiveCustomers
WHERE Name LIKE 'A%';
This query retrieves the names of all active customers starting with 'A' from the view.
To get the most value from standard views while keeping your SQL environment clean and efficient, follow these best practices:
These practices help standard views remain reliable, scalable, and easy to use.
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