Optimizing SQL Queries with Materialized Views

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Data management is at the heart of modern applications, and SQL databases offer powerful tools to help optimize data querying and manipulation. Materialized views stand out for their ability to significantly speed up queries in scenarios where the underlying data changes infrequently.

This blog will mainly explore materialized views and compare them to tables and views.

Let's start with Tables

• Tables are the foundation of relational databases, storing data in rows and columns.
• Tables are used to persist data. You can perform operations like INSERT, UPDATE, DELETE, and SELECT directly on the data in a table.
• Tables hold real data and can be indexed for performance. They can also support full CRUD (Create, Read, Update, Delete) operations.
• Large tables with many rows can become slow to query without proper indexing or optimizations.

View

• A virtual table that dynamically retrieves data from one or more tables based on a predefined SQL query.
• Views are often used to simplify complex queries or provide a different data…