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Today I practiced handling duplicate records in SQL Server, which is a very common challenge in data management and analysis.

I tried different approaches:

Identifying duplicates using GROUP BY and HAVING.

Deleting all duplicates.

Deleting duplicates while keeping one clean record using ROW_NUMBER().

This exercise helped me strengthen my understanding of data cleaning, which is a crucial step before any meaningful analysis.

Data quality is the foundation of reliable insights, and improving my SQL skills is one step closer to becoming more effective in Data Analysis & AI projects.

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