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Views provide virtual tables for query flexibility from "summary" of SQL and Relational Theory by C. Date

Views are a powerful feature of SQL, providing a way to define a "virtual table" that can be used in queries just like a base table. This virtual table is not actually stored in the database; rather, it is defined by a query that specifies which rows and columns from one or more base tables should be included in the view. The result is a dynamic, up-to-date representation of data that can be queried just like any other table. One of the key benefits of using views is the flexibility they provide in querying the database. By defining a view that presents the data in a particular way, users can simplify complex queries, hide the details of the underlying tables, and ensure consistent access to the data. This can be particularly useful in situations where multiple users need to access the same data but may have different requirements or restrictions on what they can see. For example, a view could be created that combines data from several tables and presents it in a denormalized form that is easier to work with. This can simplify queries that would otherwise involve joining multiple tables, reducing the risk of errors and improving performance. Views can also be used to enforce security restrictions, by limiting the columns or rows that are visible to certain users based on their privileges. Another advantage of views is that they can be used to encapsulate complex logic or calculations. By defining a view that performs a specific calculation or transformation on the data, users can easily incorporate this logic into their queries without having to rewrite it each time. This can improve the readability and maintainability of the queries, as well as ensure consistency in how the data is manipulated. In summary, views provide a valuable tool for enhancing the flexibility and usability of SQL queries. By defining virtual tables that encapsulate specific data requirements, users can simplify complex queries, enforce security restrictions, and encapsulate logic or calculations. This can lead to improved performance, reduced risk of errors, and more consistent access to the data.
    oter

    SQL and Relational Theory

    C. Date

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