When working with multiple tables, SQL views provide a way to combine and present data in a clean, reusable format. They’re like saved queries that can be used just like tables—helping you stay organized and efficient.

Why Use Views in SQL?

• Save time by reusing query logic.
• Provide limited access to sensitive fields.
• Make data querying easier for users and apps.
• Help separate logic from application code.

Create and Use SQL Views

Views use simple SQL syntax and can be queried like base tables.

Create a view:

CREATE VIEW EmployeeManagers AS
SELECT emp.employee_name, mng.employee_name
FROM Employees emp
JOIN Employees mng ON emp.manager_id = mng.employee_id;

Query the view:

SELECT * FROM EmployeeManagers;

Drop it when no longer needed:

DROP VIEW EmployeeManagers;

Materialized Views Overview

These are like cached versions of regular views.

• Faster for repeated complex queries.
• Data doesn’t update automatically—requires a refresh.
• Useful for BI dashboards or aggregations.
• Supported in systems like PostgreSQL.

FAQ

What is a view?

A stored SQL query used as a virtual table.

How does it differ from a table?

It doesn’t hold data—it queries it live from source tables.

How do I make one?

Use CREATE VIEW with your desired query.

Can I change a view?

Not directly. Drop and recreate it with updates.

Conclusion

SQL views are a helpful way to manage query logic and simplify database access. Use regular views for structure, and materialized views when performance counts. For more insights, feel feel to explore SQL Views: A Comprehensive Guide.