Removing Duplicates from Production Data in Real-Time Using SQL Handling duplicates in production data requires efficient strategies to maintain data integrity and avoid system performance issues. Here’s a structured approach to achieve this: --- ### **1. Prevention: Use Unique Constraints** The best way to deal with duplicates is to prevent them. Ensure your database schema is designed to enforce uniqueness: - **Primary Key**: Define a primary key to prevent identical rows. - **Unique Constraints**: Apply unique constraints to columns or combinations of columns that should not contain duplicate values. **Example:** ```sql ALTER TABLE my_table ADD CONSTRAINT unique_constraint_name UNIQUE (column1, column2); ``` --- ### **2. Identifying Duplicates** Before removing duplicates, identify them using `GROUP BY` and `HAVING`: **Example:** ```sql SELECT column1, column2, COUNT(*) AS duplicate_count FROM my_table GROUP BY colu...