SQL Interview Challenge: Detect and Remove Duplicates with Ease!

🎯 Master SQL for Interviews with Real-World Challenges! In this video, we tackle a crucial scenario: How to detect and clean duplicate data while retaining one unique record? 🔍 What You'll Learn: ✅ How to identify duplicates using GROUP BY and HAVING. ✅ The power of window functions like ROW_NUMBER for data cleanup. ✅ Writing safe and efficient queries to handle duplicate records. 👩‍💻 Who Is This Video For? Perfect for Data Analysts, Data Engineers, Database Administrators, and anyone preparing for SQL interviews! 📌 Topics Covered: SQL Window Functions (ROW_NUMBER) Common Table Expressions (CTEs) Safe DELETE operations 🎯 Pro Tip: Learn how to explain your logic in interviews and avoid common pitfalls in data cleanup tasks. 🔔 Subscribe for more SQL interview scenarios tailored for all levels. #sqlserver #sqlquery #whatissql #sqldatabase #oracle #oraclesql #SQLtutorialforbeginners #learnSQLfromscratch #SQLfromzerotohero #SQLbasicstoadvanced #SQLqueries #SQLfordataanalysis #SQLjoinsexplained #SQLsubqueriestutorial #SQLaggregationfunctions #SQLinterviewquestions #SQLrealworldexamples #SQLmasterclass #SQLtutorial2024 #learnSQLfast #SQLfordatascience #SQLbeginnertoexpert drop table if exists Employee CREATE TABLE Employee ( EmpID INT, EmpName NVARCHAR(50), DeptID INT ); INSERT INTO Employee VALUES (1, 'Alice', 101), (2, 'Bob', 102), (3, 'Alice', 101), -- Duplicate (4, 'Diana', 103), (5, 'Eve', 101), (6, 'Bob', 102), -- Duplicate (7, 'Frank', 103); select * from Employee