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A view in a database is a virtual table that displays data from one or more underlying tables.
A view doesn't store data itself but shows results based on a predefined SQL query. Views simplify access to complex data and enhance security by controlling what users can see.
Database views act as reusable query results. They can combine columns from multiple tables, apply filters, and even include calculated fields. Since they are virtual, views don’t require extra storage. You can also use views to hide sensitive columns or restructure data without changing the source tables.
To create a view, you define it with a SQL CREATE VIEW statement followed by a SELECT query.
For example:
CREATE VIEW Active_Customers AS
SELECT CustomerID, Name, Email
FROM Customers
WHERE Status = 'Active';This command creates a virtual table named Active_Customers that shows only active customers. You can then query this view just like a regular table, making your analysis faster and more focused.
There are two main types:
Some systems also support materialized views, which store results physically for faster performance but require refreshing.
A table stores actual data in rows and columns. A view, on the other hand, is a stored query that presents data from one or more tables. Tables are used for data storage and manipulation, while views are used for simplified, filtered, or restricted access to that data.
Views streamline access to relevant data without exposing the full database. They help maintain security by restricting columns or rows, reduce repetitive query writing, and simplify complex joins for end users. Views also support cleaner interfaces for reporting, analysis, or application development.
Since views don’t store data themselves, querying a complex view can slow down performance. Some views are read-only, which limits updates and inserts. Additionally, depending on the database engine, maintaining views that depend on multiple tables or require constant refresh can be challenging in large systems.
Understanding how to use views effectively allows teams to simplify reporting, secure sensitive data, and build user-friendly data layers. Views are especially valuable in multi-user environments where access needs to be controlled and queries made more readable.
Creating and managing views manually across multiple datasets can quickly get complex. OWOX BI SQL Copilot simplifies this by helping analysts and marketers generate optimized SQL queries to build custom views on top of BigQuery. Whether you're segmenting audiences, filtering key metrics, or hiding sensitive fields, SQL Copilot delivers query suggestions that save time, reduce errors, and align with your business goals. It's the fastest way to transform raw data into actionable insights that drive smarter decisions.
