NULL in SQL is Tricky! Master NULL & NOT NULL Conditions Easily

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Learn how to handle NULL values in PostgreSQL using IS NULL and IS NOT NULL. Understand how NULL impacts queries and avoid common mistakes in SQL filtering.

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Description
🚀 Master NULL Handling in PostgreSQL Queries – Avoid Common Pitfalls! 🔍

Dealing with NULL values in SQL can be tricky! Unlike regular values, NULL represents the absence of data and behaves differently in comparisons, filtering, and aggregations. Using IS NULL and IS NOT NULL correctly ensures accurate query results and avoids unexpected issues. In this tutorial, we’ll break down the best practices for handling NULLs in PostgreSQL and show how to filter, compare, and work with them effectively.

🔹 What You’ll Learn in This Video:
✅ The meaning of NULL in PostgreSQL and why it’s different from other values
✅ How IS NULL and IS NOT NULL work for filtering missing data
✅ Common mistakes with NULL in WHERE, NOT IN, and COUNT()
✅ Handling NULL in aggregations, sorting, and conditional expressions
✅ Using COALESCE and NULLIF to manage NULL values effectively
✅ Best practices to ensure accurate SQL results when dealing with NULL

💡 SQL Examples Covered:
✔ Find all employees with missing department IDs (IS NULL)
✔ Retrieve employees with assigned departments (IS NOT NULL)
✔ Handle NULL in SUM, COUNT, and AVG functions
✔ Avoid issues with NULL in NOT IN and comparison operators
✔ Use COALESCE to replace NULL values dynamically
✔ Proper filtering with NULL in LEFT JOIN vs. INNER JOIN

🎯 Who Should Watch?
🔹 SQL Beginners & Advanced Users
🔹 Data Analysts & Database Administrators
🔹 Developers Working with PostgreSQL

📌 Next Video: EXISTS vs. NOT EXISTS – Key Differences Explained in PostgreSQL

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